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Articles by A. Prabhu Britto
Total Records ( 12 ) for A. Prabhu Britto
  A. Prabhu Britto and G. Ravindran
  In this study, Discrete Cosine Transform (DCT) based Gradient Vector Flow (GVF) active contours are studied and found to have good strength for using as a suitable tool for the detection of specific human chromosomal abnormalities. The DCT based GVF active contours have been investigated by the authors and already established as an efficient boundary mapping tool for human chromosome spread images and also found to be a suitable classification tool for human chromosome images. Further studies on the DCT based GVF active contours show that specific human chromosomal abnormalities can be detected using these active contours. The main strength of this study is that DCT based GVF active contours are being used for the first time for detection of chromosomal abnormalities and they have been found to have good strength for application as a detection tool for chromosomal abnormalities.
  A. Prabhu Britto and G. Ravindran
  In this study, the suitability of the characterized parameters governing the DCT based GVF active contour formulation (curve evolution method) as standardized values for boundary mapping chromosome spread images was investigated as an evaluation of standardization of the boundary mapping technique. It was found experimentally that a unique set of parameter values of the technique is required for boundary mapping every chromosome image. Characterization studies showed that each parameter has an optimal range of values within which good boundary mapping results can be obtained for various chromosomes in similar class of images. Statistical testing validates the experimental results of characterization. Standardization of characterized parameters was then carried out using a different dataset comprising of similar class of chromosome spread images so that the standardization testing is independent of dataset.
  A. Prabhu Britto and Dr. G. Ravindran
  The realm of medical imaging has always been fascinating because of its capability to yield visual clinical information about the human body. It was found that genetic information carried in the chromosomes also carries information about certain clinical abnormalities or diseases. Medical imaging and cytogenetics, when working in conjunction give us a valuable diagnostic avenue. This study is expected to help both the layman and the professional by providing them a good insight into this fascinating interdisciplinary area. Further, this study will help to understand the promising role of medical imaging in the field of human cytogenetics and disease diagnosis.
  A. Prabhu Britto and G. Ravindran
  This study reviews Deformable curves (Active contours). The main strength of Deformable curves stems from their capability to provide to humans or higher processes, several interpretations of image data by supporting interactive mechanisms. Deformable curves offer a unique and powerful approach to segmentation. They are capable of accommodating variability of biological structures. The objective of this study is to study the frameworks of different active contour models, classify the methods according to several properties and compare their properties. This study is expected to yield a very good insight into Deformable curves.
  A. Prabhu Britto and G. Ravindran
  This research analyses the Chromosome image segmentation obtained using Discrete Cosine Transform based Gradient Vector Flow Active Contours, a segmentation tool for chromosome spread images, which have hitherto been established as an efficient segmentation tool for chromosome spread images. Extensive research has been performed on Discrete Cosine Transform based Gradient Vector Flow Active Contours for segmentation of chromosome spread images. This study is an extended analysis in the same area. This study has observed novel findings, which gives more insight on chromosome image segmentation using Discrete Cosine Transform based gradient vector flow active contours.
  A. Prabhu Britto and G. Ravindran
  This research analyses Discrete Cosine Transform based Gradient Vector Flow Active Contours, a segmentation tool for chromosome spread images, which have hitherto been established as an efficient segmentation tool. Extensive research has been performed on Discrete Cosine Transform based Gradient Vector Flow Active Contours for segmentation of chromosome spread images. This study is an extended analysis in the same area. This study is expected to yield more insight on efficient segmentation of chromosome spread images using Discrete Cosine Transform based Gradient Vector Flow Active Contours.
  A. Prabhu Britto and G. Ravindran
  This research analyses Discrete Cosine Transform based Gradient Vector Flow Active Contours, a segmentation tool for chromosome spread images, which have hitherto been established as an efficient segmentation tool. Extensive research has been performed on Discrete Cosine Transform based Gradient Vector Flow Active Contours for segmentation of chromosome spread images. This study is an extended analysis in the same area. This study yields more insight on efficient segmentation of chromosome spread images using Discrete Cosine Transform based Gradient Vector Flow Active Contours.
  A. Prabhu Britto and G. Ravindran
  This research analyses the strengths of Discrete Cosine Transform based Gradient Vector Flow Active Contours in Chromosome image segmentation. Extensive research has been performed on Discrete Cosine Transform based Gradient Vector Flow Active Contours for segmentation of chromosome spread images. This study is an extended analysis in the same area. This study has observed novel strengths in Discrete Cosine Transform based Gradient Vector Flow Active Contours, which is expected to yield more insight on chromosome image segmentation using Discrete Cosine Transform based Gradient Vector Flow Active Contours.
  A. Prabhu Britto and G. Ravindran
  This research studies the Discrete Cosine Transform Based Gradient Vector Flow in Normal Direction (DCT based NGVF) Active Contours in comparison with the Discrete Cosine Transform Based Gradient Vector Flow (DCT based GVF) Active Contours. Extensive research has been done on DCT based GVF Active Contours and the strengths of DCT based GVF Active Contours have been established. NGVF, the recent improvement to the GVF Active Contour has faster convergence speed towards the concavity and bigger time step. It also has the capability to enter into long, thin indention and provide a good contour. The DCT based NGVF Active Contours has the combined strengths of the NGVF Active Contours and the DCT based GVF Active Contour formulation. This research experimentally studies the merit of the DCT based NGVF Active Contours in comparison with the DCT based GVF Active Contours. The experimental inferences shed more light on the comparative merits of DCT based NGVF Active Contours.
  A. Prabhu Britto and G. Ravindran
  This study compares the boundary mapping efficiency of curve evolution method on chromosome spread images. The curve evolution methods chosen for comparison gradient vector flow active contours, generalized gradient vector flow active contours, discrete cosine transform based gradient vector flow active contours and discrete cosine transform based generalized gradient vector flow active contours. Chromosome spread images were characterized by chromosome images with variable shape and image properties. Experimental results showed that gradient vector flow active contours and its variants were successful boundary mapping tools for chromosome spread images. The result of this comparison was expected to yield a very efficient boundary mapping scheme for boundary mapping chromosome spread images.
  A. Prabhu Britto and G. Ravindran
  This study offers insight into the fascinating realm of cytogenetics, introducing the fundamental concepts of this area. Cytogenetics is the study of the structure and function of chromosomes. The various materials and methods of cytogenetis are discussed and analyzed. From the fundamentals to the latest research activities, detailed information is obtained through this study. Automated detection and classification of banded chromosomes may help clinicians diagnose cancers and other genetic disorders at an early stage more efficiently and accurately. Automation aspects are also dwelt in detail. This study will be a valuable resource to researchers in Cytogenetics.
  A. Prabhu Britto and G. Ravindran
  This study surveys deformable curves (active contours) with the aim of identifying a suitable type of deformable curve for the task of chromosome image segmentation. Deformable curves offer a unique and powerful approach to segmentation. They are capable of accommodating variability of biological structures. Deformable curves also support interactive mechanisms that permit expert interaction during the process. The objective of this was to to study the theoretical frameworks of different active contour models, classify the methods according to several properties and compare their properties. This study reviews the deformable curves and their application specifically to the task of chromosome image segmentation.
 
 
 
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