Citations in impact factor journals
Method of differentiation of benign and malignant masses in
digital mammograms using texture analysis based on phylogenetic
diversity Computers & Electrical Engineering |
Recognition of Breast Abnormalities Using Phase Features Journal of Communications Technology and Electronics Vol. 65, Issue 12, 1476, 2020 |
Classification of Breast Abnormalities Using a Deep Convolutional Neural Network and Transfer Learning Journal of Communications Technology and Electronics Vol. 66, Issue 6, 778, 2021 |
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algorithm for nuclei detection on breast cancer histopathological images International Journal of Imaging Systems and Technology |
Can Occult Invasive Disease in Ductal Carcinoma In Situ Be
Predicted Using Computer-extracted Mammographic Features? Academic Radiology |
Deep Convolution Neural Network Based System for Early Diagnosis of Alzheimer's Disease IRBM Vol. 42, Issue 4, 258, 2021 |
Some anisotropy indices for the characterization of Brownian
textures and their application to breast images Spatial Statistics |
DeepCAD: A Computer-Aided Diagnosis System for Mammographic
Masses Using Deep Invariant Features Computers Vol. 5, Issue 4, 28, 2016 |
How to cite this article
Luqman Mahmood Mina and Nor Ashidi Mat Isa, 2015. A Review of Computer-Aided Detection and Diagnosis of Breast Cancer in Digital Mammography. Journal of Medical Sciences, 15: 110-121.
DOI: 10.3923/jms.2015.110.121
URL: https://scialert.net/abstract/?doi=jms.2015.110.121
DOI: 10.3923/jms.2015.110.121
URL: https://scialert.net/abstract/?doi=jms.2015.110.121