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    Publisher: Academic Journals Inc., USA
   
  Trends in Medical Research publishes original, peer-reviewed research work in all areas of medical and applied health sciences. Scope of the journal includes: Medicine, dentistry, nursing and allied health sciences, pharmacy, pathology, anatomy, surgery, physiology, pharmacology and toxicology.

Trends in Medical Research now accepting new submissions. Submit your best paper via online submission system.

  Editor-in-Chief:  Nima Rezaei
 
 
Bandhyopadhyay, D.S.K. and T.U. Paul, 2012. Segmentation of brain MRI image: A review. Int. J. Adv. Res. Comput. Sci. Software Eng., 2: 409-413.
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Bandhyopadhyay, S.K. and T.U. Paul, 2013. Automatic segmentation of brain tumour from multiple images of brain MRI. Int. J. Appl. Innovation Eng. Manage., 2: 240-248.
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Bandyopadhyay, D.S.K., 2011. Detection of brain tumor: A proposed method. J. Global Res. Comput. Sci., 2: 55-63.
Bandyopadhyay, S.K. and B. Datta, 2011. Higher LSB layer based audio steganography technique. Int. J. Electr. Commun. Technol., 2: 129-135.
Bandyopadhyay, S.K. and D. Saha, 2011. Brain region extraction and volume Calculation. Universal J. Applied Comput. Sci. Technol., 1: 44-48.
Bandyopadhyay, S.K. and I.K Maitra, 2010. An alternative approach of steganography using reference image. Int. J. Adv. Technol., 1: 95-102.
Bandyopadhyay, S.K. and I.K. Maitra, 2010. A technique for detection and analysis of human breast cancer. Int. J. Comput. Applic., 6: 18-23.
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Bandyopadhyay, S.K. and I.K. Maitra, 2010. An application of palette based steganography. Int. J. Comput. Applic., 6: 24-27.
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Bandyopadhyay, S.K. and I.K. Maitra, 2010. Anatomical asymmetry of human breast for indicator of breast cancer. Int. J. Comput. Applic., 9: 5-8.
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Bandyopadhyay, S.K. and I.K. Maitra, 2010. Hiding of data using reserved field of palette for steganography. J. Comput. Sci. Eng., 1: 1-6.
Bandyopadhyay, S.K. and I.K. Maitra, 2010. Pre-processing of digital mammogram for further analysis. Int. J. Comput. Intell. Inform. Security, 1: 29-41.
Bandyopadhyay, S.K. and I.K. Maitra, 2015. Fully automated computer aided diagnosis (Cad) system of human breast cancer using digital mammogram. Asian J. Comput. Sci. Inform. Technol., 5: 11-20.
Bandyopadhyay, S.K. and M.S. Roy, 2013. Face recognition using eigen face based technique utilizing the concept of principal component analysis. Int. J. Comput. Technol., 10: 1943-1953.
Bandyopadhyay, S.K. and N. Basu, 2014. A proposed method of edge detection from impressions of footwear found in crime scenes. Int. J. Eng. Res. Manage., 1: 80-84.
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Bandyopadhyay, S.K. and N. Basu, 2014. An evidence based study of the different factors that influence the formation of hammer transfer stains in a crime scene. Int. J. Criminol. Sociol., 3: 402-413.
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Bandyopadhyay, S.K. and N. Basu, 2014. An introduction to bloodstain pattern analysis. Int. J. Adv. Inform. Sci. Technol., 32: 93-98.
Bandyopadhyay, S.K. and N. Basu, 2014. Bloodstain pattern analysis-an Introduction. Int. J. Emerging Technol. Res., 1: 135-139.
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Bandyopadhyay, S.K. and N. Basu, 2015. A proposed method for footprint boundary analysis. Int. J. Emerging Technol. Res., 2: 28-33.
Bandyopadhyay, S.K. and N. Basu, 2015. Blood stain with hammer imprint shown in crime scene. Open Access Library J., Vol. 2. 10.4236/oalib.1101412.
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Bandyopadhyay, S.K. and N. Basu, 2015. Bloodstain pattern analysis for crime scene investigation and reconstruction. Int. J. Comput. Intell. Res., 11: 1-9.
Bandyopadhyay, S.K. and N. Basu, 2015. Bloodstain pattern analysis on fabric. Int. J. Innov. Sci. Eng. Technol., 2: 419-426.
Bandyopadhyay, S.K. and N. Basu, 2015. Bloodstains analysis on fabric from contact in a crime scene. Int. J. Comput. Syst., 2: 30-32.
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Bandyopadhyay, S.K. and N. Basu, 2015. Crime scene hammer transfer stain pattern interpretation. Int. J. Modern Trends Eng. Res., 2: 238-252.
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Bandyopadhyay, S.K. and N. Basu, 2015. Different factors influenced and distorted regular transfer stains in bloodstain pattern analysis. Int. J. Enhanced Res. Sci. Technol. Eng., 4: 26-32.
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Bandyopadhyay, S.K. and N. Basu, 2015. Different materials effects on bloodstain pattern analysis for crime scene reconstruction. Int. J. Eng., 4: 1-5.
Bandyopadhyay, S.K. and N. Basu, 2015. Drip stains on non-absorbent paper and fabrics on visualization of crime screen reconstruction. Int. J. Innov. Res. Adv. Eng., 2: 6-13.
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Bandyopadhyay, S.K. and N. Basu, 2015. Effect of different stains at the simulated crime scene. Int. J. Comput. Trends Technol., 21: 75-80.
Bandyopadhyay, S.K. and N. Basu, 2015. Hammer transfer stains in coherence with BPA. Indian J. Applied Res., 5: 179-184.
Bandyopadhyay, S.K. and N. Basu, 2015. Interpretation of bloodstain pattern for reconstruction of crime scene. Int. Res. J. Comput. Sci., 2: 18-22.
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Bandyopadhyay, S.K. and N. Basu, 2015. Process of crime scene investigation and simulated reconstruction. Int. J. Sci. Res., 4: 2542-2550.
Bandyopadhyay, S.K. and N. Basu, 2015. Removal of artefact from shoe print image. Int. J. Mod. Eng. Res., 5: 13-16.
Bandyopadhyay, S.K. and N. Basu, 2015. Review of common bloodstain patterns documented at a crime scene in the event of blunt force hit. Am. J. Comput. Sci. Inform. Technol., 3: 45-63.
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Bandyopadhyay, S.K. and N. Basu, 2015. Review on bloodstain pattern analysis on Fabric. IJAREEIE, 4: 427-430.
Bandyopadhyay, S.K. and N. Basu, 2015. Review on common bloodstain patterns documented at a crime scene. Indian J. Sci. Res., 10: 68-71.
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Bandyopadhyay, S.K. and N. Basu, 2015. The intricacies involved in the analysis and interpretation of hammer transfer stain/s in a crime scene. J. Int. J. Criminol. Sociol., 4: 107-118.
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Bandyopadhyay, S.K. and N.R. Manna, 1990. Diagnosis of ECG diagnosable diseases-syntactic pattern recognition approach. Int. J. Elect. Theoret. Exp., 68: 915-924.
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Bandyopadhyay, S.K. and S. Roy, 2012. Detection of sharp contour of the element of the WBC and segmentation of two leading elements like nucleus and cytoplasm. Int. J. Eng. Res. Applied, 2: 545-551.
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Bandyopadhyay, S.K. and S. Chakraborty, 2011. Image hiding in DNA sequence using arithmetic encoding. J. Global Res. Comput. Sci., 2: 167-171.
Bandyopadhyay, S.K. and S. Chakraborty, 2011. Image steganography using dna sequence. Asian J. Comput. Sci. Inform. Technol., 1: 50-52.
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Bandyopadhyay, S.K. and S. Nag, 2015. Detection of contour of the element of the wbc for malaria detection. Adv. Comput. Sci. Technol., 8: 7-15.
Bandyopadhyay, S.K. and T.U. Paul, 2013. Segmentation of brain tumour from MRI image analysis of k-means and DBSCAN clustering. Int. J. Res. Eng. Sci., 1: 48-57.
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Bandyopadhyay, S.K., 1989. Flowchart recognition: A syntactic approach. Int. J. Elect. Theoret. Exp., 67: 179-185.
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Bandyopadhyay, S.K., 2011. A method for automatic tumor segmentation from image of brain. Int. J. Comput. Applic., 17: 24-27.
Bandyopadhyay, S.K., 2011. A method for face segmentation, facial feature extraction and tracking. Int. J. Comput. Sci. Eng. Technol., 1: 137-139.
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Bandyopadhyay, S.K., 2011. A survey on brain image segmentation methods. J. Global Res. Comput. Sci., 2: 4-7.
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Bandyopadhyay, S.K., 2011. An edge detection algorithm for human knee osteoarthritis images. J. Global Res. Comput. Sci., 2: 103-106.
Bandyopadhyay, S.K., 2011. Automatic detection of brain tumor. Global J. Comput. Applic. Technol., 1: 96-100.
Bandyopadhyay, S.K., 2011. Brain tumor boundary detection in MR image by homogeneity enhancement process. Int. J. Comput. Sci. Informat. Technol., 2: 876-883.
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Bandyopadhyay, S.K., 2011. Brain tumor segmentation and quantification from MRI of brain. J. Global Res. Comput. Sci., 2: 155-160.
Bandyopadhyay, S.K., 2011. Colour quantization technique for medical image segmentation. Int. J. Res. Rev. Comput. Sci., 2: 627-631.
Bandyopadhyay, S.K., 2011. Contour detection of teeth by pixel manipulation. J. Curr. Comput. Sci. Technol., 1: 165-170.
Bandyopadhyay, S.K., 2011. Cosmetic surgery for aging effects on face images-a proposed method. J. Global Res. Comput. Sci., 2: 136-140.
Bandyopadhyay, S.K., 2011. Data hiding using DNA sequence compression. J. Global Res. Comput. Sci., 2: 27-34.
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Bandyopadhyay, S.K., 2011. Digital pathology: An electronic environment for performing pathologic analyses from image. Int. J. Comput. Sci. Eng. Technol., 1: 127-130.
Bandyopadhyay, S.K., 2011. Edge detection in brain images. Int. J. Comput. Sci. Infor. Technol., 2: 884-887.
Bandyopadhyay, S.K., 2011. Edge detection of human eye based on homogeneity analysis. J. Global Res. Comput. Sci., 2: 47-51.
Bandyopadhyay, S.K., 2011. Edge detection of human nose for analysis of nose Shape. Asian J. Comput. Sci. Inform. Technol., 1: 27-29.
Bandyopadhyay, S.K., 2011. Finding bilateral symmetry of the human brain from MRI. J. Global Res. Comput. Sci., 2: 33-37.
Bandyopadhyay, S.K., 2011. Finding tumor volume using segmentation from MR image. Int. J. Adv. Res. Comput. Sci., 2: 420-424.
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Bandyopadhyay, S.K., 2011. Image enhancement technique applied to low-field mrbrain images. Int. J. Comput. Applic., 15: 1-6.
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Bandyopadhyay, S.K., 2011. Lip contour detection techniques based on front view of face. J. Global Res. Comput. Sci., 2: 43-46.
Bandyopadhyay, S.K., 2011. Medical brain image registration: A survey. Int. J. Adv. Res. Comput. Sci., 2: 348-351.
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Bandyopadhyay, S.K., 2011. Method for blood cell segmentation. J. Global Res. Comput. Sci., 2: 130-135.
Bandyopadhyay, S.K., 2011. Segmentation on brain image: A method. Int. J. Adv. Res. Comput. Sci., 2: 405-409.
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Bandyopadhyay, S.K., 2015. Computer based detection of femur bones in x-ray images. Global J. Adv. Eng. Technol., 4: 212-215.
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Bandyopadhyay, S.K., 2015. Crack detection and classification based on new edge detection method. Int. J. Adv. Comput. Sci. Technol., 4: 128-132.
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Bandyopadhyay, S.K., B. Datta and K. Dutta, 2011. Information hiding in higher LSB layer in an audio image. Int. J. Adv. Res. Comput. Sci., 2: 243-254.
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Bandyopadhyay, S.K., B. Dutta, D. Chakrabarty, A. Majumdar, S. Bhowmick and N. Ghosh, 2011. Hide text within an audio clip. J. Curr. Comput. Sci. Technol., 1: 305-315.
Bandyopadhyay, S.K., D. Bhattacharyya and A.J. Pal, 2006. Secure delivery of handwritten signature. Ubiquity, 10.1145/1183086.1183087.
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Bandyopadhyay, S.K., D. Bhattacharyya and P. Das, 2006. Mosquito attack optimization. Ubiquity, 10.1145/1162511.1162512.
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Bandyopadhyay, S.K., I.K. Maitra and S. Nag, 2011. Central tendency of intensity for digital mammogram registration-comparitive analysis. J. Curr. Comput. Sci. Technol., 1: 329-339.
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Bandyopadhyay, S.K., S. Arunkumar and S. Bhattacharjee, 2013. Feature extraction of human lip prints. J. Curr. Comput. Sci. Technol., 2: 1-8.
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Bandyopadhyay, S.K., T.H. Kim and S. Parui, 2011. Network based public key method for steganography. Int. J. Control Automation, 4: 43-48.
Bandyopadhyay, S.K., T.U. Paul and A. Raychoudhury, 2011. Image compression using approximate matching and run length. Int. J. Adv. Comput. Sci. Applic., 2: 117-121.
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Banik, B.G. and S.K. Bandyopadhyay, 2013. A DWT method for image steganography. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 983-989.
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Banik, B.G. and S.K. Bandyopadhyay, 2015. An image steganography method on edge detection using multiple LSB modification technique. J. Basic Applied Res. Int., 9: 75-80.
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Banik, B.G. and S.K. Bandyopadhyay, 2015. Review on steganography in digital media. Int. J. Sci. Res., 4: 265-274.
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Basu, N. and S.K. Bandyopadhyay, 2016. 2D Source area prediction based on physical characteristics of a regular, passive blood drip stain. Forensic Sci. Int., 266: 39-53.
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Basu, N. and S.K. Bandyopadhyay, 2017. A case study on sexually harass women in a crime spot. Austin J. Forensic Sci. Criminol., 4: 1-4.
Basu, N. and S.K. Bandyopadhyay, 2017. Crime scene reconstruction-Sex prediction from blood stained foot sole impressions. Forensic Sci. Int., 278: 156-172.
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Basu, N., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2016. Artefact removal and edge detection from medical image. Eur. J. Biomed. Pharm. Sci., 3: 493-502.
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Bhattacharjee, S., J. Mukherjee, S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2014. Review on histopathological slide analysis using digital microscopy. Int. J. Adv. Sci. Technol., 62: 65-96.
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Bhattacharyya, D., J. Dutta, P. Das and S.K. Bandyopadhyay, 2009. Tai-hoon Kim, authentication and secret message transmission technique using discrete fourier transformation. Int. J. Commun. Network Syst. Sci., 2: 363-370.
Bhattacharyya, D., P. Das, D. Ganguly, K. Mitra, P. Das, S.K. Bandyopadhyay and T.H. Kim, 2009. In search of unstructured documents categorization. Commun. Comput. Inform. Sci., 27: 116-125.
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Bhattacharyya, D., P. Das, D. Ganguly, K. Mitra, S. Mukherjee, S.K. Bandyopadhyay and T.H. Kim, 2000. A heuristic approach for designing regional language based raw-text extractor and unicode font-mapping tool. Commun. Comput. Inform. Sci., 28: 1-12.
Bhattacharyya, D., P. Das, S. Mukherjee, D. Ganguly, S.K. Bandyopadhyay and T.H. Kim, 2009. A secured technique for image data hiding. Commun. Comput. Inform. Sci., 29: 151-159.
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Bhattacharyya, D., P. Das, S.K. Bandyopadhyay and T.H. Kim, 2009. Feature extraction for IRIS recognition. Commun. Comput. Inform. Sci., 29: 31-39.
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Bhattacharyya, D., P. Das, S.K. Bandyopadhyay and T.H. Kim, 2009. Text steganography: A novel approach. Int. J. Adv. Sci. Technol., 3: 79-86.
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Bhattacharyya, D., P. Das, T.H. Kim and S.K. Bandyopadhyay, 2009. Vascular pattern analysis towards pervasive palm vein authentication. J. Universal Comput. Sci. Data Security Privacy Protection Pervasive Comput. Environ., 15: 1081-1089.
Bhattacharyya, D., S.K. Bandyopadhyay and P. Das, 2007. Handwritten signature watermarking and extraction technique inspired by principle of segregation. Handwritten signature watermarking and extraction technique inspired by principle of segregation. 1: 35-44.
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Biswas, R., G.D. Chowdhury and S.K. Bandyopadhyay, 2013. Trigonometric abstraction based variable harmonic sampling and dual encryption steganography. Int. J. Scient. Eng. Res., 4: 1714-1718.
Bose, K. and S.K. Bandyopadhyay, 2016. Digital image processing techniques for the detection and removal of cracks in digitized paintings or concrete structure. Int. J. Curr. Res., 8: 25179-25184.
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Cecil, M. and S.K. Bandyopadhyay, 2013. Behavior of brain components through segmentation. Int. J. Innov. Res. Sci. Eng. Technol., 2: 926-929.
Cecil, M. and S.K. Bandyopadhyay, 2013. Gender decision through brain economics. IOSR J. Eng., 3: 45-48.
Cecil, M. and S.K. Bandyopadhyay, 2013. Proposed method for human decision making using neuroeconomics. Int. J. Adv. Comput. Technol., 2: 110-113.
Cecil, M. and S.K. Bandyopadhyay, 2013. Study of human brain through segmentation of brain lobes. Int. J. Eng. Res. Technol., 2: 1-8.
Cecil, M. and S.K. Bandyopadhyay, 2013. Utilizing WM and GM for finding intelligence of human behavior. Int. J. Comput. Sci. Mobile Comput., 2: 323-326.
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Chakraborty, S. and S.K. Bandyopadhyay, 2013. A steganography approach to hiding two images using DNA microarray. Int. J. Innov. Res. Comput. Commun. Eng., 1: 158-162.
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Chakraborty, S. and S.K. Bandyopadhyay, 2013. An approach of 3-level image staganography using dnasequence and 3×3 matrix pixel pair differencing algorithm. Int. J. Eng. Sci. Technol., 5: 184-191.
Chakraborty, S. and S.K. Bandyopadhyay, 2013. An approach of image staganography by combine application of DNA sequence and arithmetic encoding. Int. J. Manage. Inform. Technol., 5: 636-642.
Chakraborty, S. and S.K. Bandyopadhyay, 2013. Steganography method based on data embedding by sudoku solution matrix. Int. J. Eng. Sci. Invent., 2: 36-42.
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Choudhury, R., S.K. Bandyopadhyay, M. Das, N. Pal and A. Jhunjhunwala, 2014. Study on knee analysis using binarization-a review. Int. J. Emerg. Technol. Res., 1: 1092-1098.
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Das, M. and S.K. Bandyopadhyay, 2014. Image based hand recognitions. Int. J. Comput. Sci. Eng. Res. Pap., 2: 99-104.
Das, M. and S.K. Bandyopadhyay, 2015. Survey and analysis of current methods of steganography. Int. J. Modern Trends Eng. Res., 2: 527-536.
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Das, P., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2009. Person identification through IRIS recognition. Int. J. Secur. Applic., 3: 129-148.
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Datta, B., D. Bhattacharyya, S.K. Bandyopadhay and K.H. Shin, 2014. High capacity signature hiding technique in higher depth of LSB layer. Int. J. Multimedia Ubiquitous Eng., 9: 363-374.
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Datta, B., S.K. Bandyopadhyay and A. Kedia, 2014. High imperceptible data hiding using remainder method. Int. J. Comput. Applic., 95: 12-19.
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Datta, P.K., S.K. Bandyopadhyay and A.K. Choudhury, 1987. A method for connected row set assignment of asynchronous sequential machines. IETE J. Res., 33: 166-169.
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Datta, P.K., S.K. Bandyopadhyay and A.K. Choudhury, 1988. A graph theoretic approach for state assignment of asynchronous sequential machines. Int. J. Elect., 65: 1067-1075.
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Datta, S. and S.K. Bandyopadhyay, 2013. A method for trialing a virtual sari before physical manufacturing. Int. J. Eng. Res. Technol., 2: 1-5.
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Datta, S. and S.K. Bandyopadhyay, 2013. A step-by-step discussion about fMRI with other methods. Int. J. Eng. Sci. Invent., 2: 105-110.
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De, K.N. and S.K. Bandyopadhyay, 1998. Constraint satisfaction problem with heuristic search. Adv. Model. Anal., 1: 35-41.
De, K.N. and S.K. Bandyopadhyay, 1999. CSP: A modified heuristic approach. Adv. Model. Anal., 35: 35-41.
Ghosh, S. and S.K. Bandyopadhyay, 2013. A tutorial review of automatic image tagging technique using text mining. Int. J. Eng. Res. Technol., 2: 282-289.
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Ghosh, S. and S.K. Bandyopadhyay, 2013. Image extraction using image mining technique. IOSR J. Eng., 3: 36-42.
Ghosh, S. and S.K. Bandyopadhyay, 2015. A method for face recognition from facial expression. Am. J. Comput. Sci. Inform. Technol., 3: 148-166.
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Ghosh, S. and S.K. Bandyopadhyay, 2015. A method for human emotion recognition system. Br. J. Math. Comput. Sci., 11: 1-27.
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Ghosh, S. and S.K. Bandyopadhyay, 2015. Gender classification and age detection based on human facial features using multi-class SVM. Br. J. Applied Sci. Technol., 10: 1-15.
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Ghosh, S. and S.K. Bandyopadhyay, 2017. Semantic annotation on medical records. Adv. Biotechnol. Microbiol., 2: 1-2.
Ghosh, S., S. Roy and S. Bandyopadhyay, 2012. A tutorial review on text mining algorithms. Int. J. Adv. Res. Comput. Commun. Eng., 1: 223-233.
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Ghosh, T., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2014. A review on different techniques to de-noise a signal. Int. J. Control Autom., 7: 349-358.
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Gupta, B. and S.K. Banerjee, 2001. A roll-forward recovery scheme for solving the problem of coasting forward for distributed systems. ACM SIGOPS Operat. Syst. Rev., 35: 55-66.
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Gupta, B., S.K. Banerjee and Z. Wang, 2001. An index-based checkpointing/recovery approach for distributed systems. Informat. Yamaguchi, 4: 399-408.
Jhunjhunwala, A. and S.K. Bandyopadhyay, 2014. Feature extraction from human facial images. Int. J. Comput. Sci. Telecommun., 5: 15-19.
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Kumar, S., B. Barnali and G. Banik, 2012. LSB modification and phase encoding technique of audio steganography revisited. Int. J. Adv. Res. Comput. Commun. Eng., 1: 1-4.
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Lahiri, S. and S.K. Bandyopadhyay, 2015. A method for virtual restoration of artworks. Global J. Eng. Sci. Res., 2: 111-116.
Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2013. Mammographic density estimation and classification using segmentation and progressive elimination method. Int. J. Image Graphics, Vol. 13. 10.1142/S0219467813500137.
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Maitra, I.K., S. Nag and S. Bandyopadhyay, 2011. Automated digital mammogram segmentation for detection of abnormal masses using Binary homogeneity enhancement algorithm. J. Comput. Sci. Eng., 2: 416-427.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Accurate breast contour detection algorithms in digital mammogram. Int. J. Comput. Applic., 25: 1-13.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Anatomical segmentation of digital mammogram to differentiate breast regions. Int. J. Res. Rev. Comput. Sci., 2: 1327-1330.
Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Artifact suppression and homogenous orientation of digital mammogram using seeded region growing algorithm. Int. J. Comput. Inform. Syst., 3: 32-38.
Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Detection of abnormal masses using divide and conquer algorithmin digital mammogram. Int. J. Emerg. Sci., 1: 767-786.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2011. Identification of abnormal masses in digital mammography images. Int. J. Comput. Graphics, 2: 17-30.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. A computerized approach towards breast volume calculation. Int. J. Applied Inform. Syst., 1: 15-20.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. A novel edge detection algorithm for digital mammogram. Int. J. Inform. Commun. Technol. Res., 2: 207-215.
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Maitra, I.K., S. Nag and S.K. Bandyopadhyay, 2012. Technique for preprocessing of digital mammogram. Comput. Meth. Programs Biomed., 107: 175-188.
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Maitra, I.K., S. Nag, P. Saha and S.K. Bandyopadhyay, 2015. A tree-based approach towards edge detection of medical image using MDT. Int. J. Comput. Graphics, 6: 37-56.
Maitra, I.K., S.K. Bandyopadhyay and S. Nag, 2011. Detection and isolation of pectoral muscle from digital mammogram: An automated approach. Int. J. Adv. Res. Comput. Sci., 2: 375-380.
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Mandal, U. and S.K. Bandyopadhyay, 2015. Visible and invisible watermarking using discrete wavelet transform. Int. J. Adv. Res. Comput. Sci. Software Eng., 5: 675-679.
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Mondal, A., P. Mukhopadhyay, N. Basu, S.K. Bandyopadhyay and T. Chatterjee, 2016. Quantitative analysis of Euclidean distance to complement qualitative analysis of facial expression during deception. Ind. Psychiatry J., 25: 78-85.
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Mukherjee, J., I.K. Maitra, K.N. Dey, S.K. Bandyopadhyay, D. Bhattacharyya and T.H. Kim, 2016. Grayscale conversion of histopathological slide images as a preprocessing step for image segmentation. Int. J. Software Eng. Applic., 10: 15-26.
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Nag, S., I. Kanta, M.S. Roy and S.K. Bandyopadhyay, 2014. A review of image segmentation methods on brain MRI for detection of tumor and related abnormalities. Int. J. Adv. Res. Comput. Sci. Software Eng., 4: 1073-1095.
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Pal, S. and S.K. Bandyopadhyay, 2015. Another vision of image steganography. Int. J. Scient. Eng. Applied Sci., 1: 50-57.
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Parmar, R.R., S. Roy, D. Bhattacharaya, S. Bandyopadhyay and T.H. Kim, 2017. Large Scale encryption in hadoop environment: Challenges and solutions. IEEE Access., 5: 7156-7163.
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Paul, T.U. and S.K. Bandhyopadhyay, 2012. Segmentation of brain tumor from brain MRI images reintroducing K-means with advanced dual localization method. Int. J. Eng. Res. Applic., 2: 226-231.
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Paul, T.U., S. Chakraborty, S. Mukhopadhyay and S.K. Bandhyopadhyay, 2014. A new insight into wavelet transforms using the concepts of frame theory. Int. J. Comput. Technol., 12: 3860-3874.
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Pramanik, S. and S.K. Bandyopadhyay, 2013. Application of steganography in symmetric key cryptography with genetic algorithm. Int. J. Comput. Technol., 10: 1791-1799.
Pramanik, S. and S.K. Bandyopadhyay, 2014. Hiding secret message in an image. Int. J. Innov. Sci. Eng. Technol., 1: 553-559.
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Pramanik, S. and S.K. Bandyopadhyay, 2014. High capacity hybrid model in image steganography using genetic algorithm with particle swarm optimization and biorthogonal wavelet transform. Jokull J., 64: 265-285.
Pramanik, S. and S.K. Bandyopadhyay, 2014. Image steganography using wavelet transform and genetic algorithm. Int. J. Innov. Res. Adv. Eng., 1: 17-20.
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Ray, A. and S.K. Bandyopadhyay, 2016. Survey and segmentation of skin lesion. Eur. J. Biomed. Pharm. Sci., 3: 555-558.
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Roy, S. and S.K. Bandyopadhyay, 2011. Contour detection of human knee. Int. J. Comput. Sci. Eng. Technol., 1: 484-487.
Roy, S. and S.K. Bandyopadhyay, 2011. Visual image based hand recognitions. Asian J. Comput. Sci. Inform. Technol., 1: 106-110.
Roy, S. and S.K. Bandyopadhyay, 2012. Detection and quantification of brain tumor from MRI of brain and it's symmetric analysis. Int. J. Informat. Communi. Technol. Res., 2: 477-483.
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Roy, S. and S.K. Bandyopadhyay, 2013. Extraction of facial features using a simple template based method. Int. J. Eng. Sci. Technol., 5: 1528-1532.
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Roy, S. and S.K. Bandyopadhyay, 2013. Face detection using a hybrid approach that combines HSV and RGB. Int. J. Comput. Sci. Mobile Comput., 2: 127-136.
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Roy, S. and S.K. Bandyopadhyay, 2014. A review on volume calculation of brain abnormalities from MRI of brain using CAD system. Int. J. Inform., 4: 114-120.
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Roy, S. and S.K. Bandyopadhyay, 2014. Eye detection using area analysis of connected components which uses the concept of RGB color based model and morphological operation. Int. J. Comput. Sci. Trends Technol., 2: 17-21.
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Roy, S. and S.K. Bandyopadhyay, 2014. Gender recognition using Self Organizing Map (SOM)-an unsupervised ANN approach. Int. J. Emerg. Res. Manage. Technol., 3: 71-74.
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Roy, S. and S.K. Bandyopadhyay, 2015. A comparative study between PCA and SOM for plastic surgery face recognition. Int. J. Sci. Res., 4: 1473-1478.
Roy, S. and S.K. Bandyopadhyay, 2015. Automated computer aided diagnosis system for brain abnormality detection and analysis from MRI of brain. Int. J. Adv. Comput. Sci. Technol., 4: 10-17.
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Roy, S. and S.K. Bandyopadhyay, 2016. A new method of brain tissues segmentation from MRI with accuracy estimation. Procedia Comput. Sci., 85: 362-369.
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Roy, S., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2017. An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI. Comput. Methods Progr. Biomed., 140: 307-320.
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Roy, S., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2017. An improved brain MR image binarization method as a preprocessing for abnormality detection and features extraction. Front. Comput. Sci., 11: 717-727.
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Roy, S., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2017. An iterative implementation of level set for precise segmentation of brain tissues and abnormality detection from MR images. IETE J. Res. 10.1080/03772063.2017.1331757.
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Roy, S., D. Bhattacharyya, S.K. Bandyopadhyay and T.H. Kim, 2017. Artifacts and skull stripping: An application towards the preprocessing for brain abnormalities detection from MRI. Int. J. Control Automation, 10: 147-160.
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Roy, S., D. Ganguly, K. Chatterjee and S.K. Bandyopadhyay, 2015. Computerized white matter and gray matter extraction from MRI of brain image. J. Biomed. Sci. Eng., 8: 582-589.
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Roy, S., K. Chatterjee and S.K. Bandyopadhyay, 2014. Segmentation of acute brain stroke from MRI of brain image using power law transformation with accuracy estimation. Smart Innov. Syst. Technol., 27: 453-461.
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Roy, S., K. Chatterjee, D. Ganguly and S.K. Bandyopadhyay, 2013. Automated white and gray matter segmentation from MRI of brain image. Jokull J., 63: 119-128.
Roy, S., K. Chatterjee, I.K. Maitra and S.K. Bandyopadhyay, 2013. Artefact removal from MRI of brain image. Int. Referred J. Eng. Sci., 2: 24-30.
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Roy, S., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2013. A review on automated brain tumor detection and segmentation from MRI of brain. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 1706-1746.
Roy, S., S. Nag, I.K. Maitra and S.K. Bandyopadhyay, 2013. Artefact removal and skull elimination from MRI of brain image. Int. J. Scient. Eng. Res., 4: 163-170.
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Roy, S., S. Nag, S.K. Bandyopadhyay, D. Bhattacharyya and T.H. Kim, 2015. Automated brain hemorrhage lesion segmentation and classification from MR image using an innovative composite method. J. Theor. Applied Inform. Technol., 78: 34-45.
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Roy, S., S. Sadhukhan, S. Sadhu and S.K. Bandyopadhyay, 2015. A novel approach towards development of hybrid image steganography using DNA sequences. Indian J. Sci. Technol., 8: 1-7.
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Roy, S.K., S.K. Bandyopadhyay, A. Mahato and T.H. Kim, 2015. A Speeding Up Fractal Image Compression Using Fixed Size Partition and Hierarchical Classification of Sub-Images. In: Advances in Mathematics and Statistical Sciences, Mastorakis, N.E., A. Ding and M.V. Shitikova (Eds.)., Springer-Verlag, Berlin, Heidelberg, ISBN: 978-1-61804-275-0, pp: 326-332.
Sarma, S.S. and S.K. Bandyopadhyay, 1989. Some sequential graph colouring algorithms. Int. J. Elect. Theoret. Exp., 67: 187-199.
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