What is it about?
Female breast cancer is the second most common cancer in the world. Mammography screening captures most of the significant alterations of breast disorder. An efficient and intelligent mammogram CAD system has been built using deep learning. Classification accuracy of 99% and zero false positives has been achieved using the proposed technique.
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Why is it important?
We defined how to train the deep learning Neural Network for mammogram analysis .
Perspectives
This work is very important, because if it turns into a commercial CAD system, then it is possible to aid radiologists in diagnosing and saving the human lives
Saraswathi D
Manakula vinayagar Institute of Technology
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This page is a summary of: Computer Aided Mammogram Diagnosis System using Deep learning Convolutional Fully Complex-Valued Relaxation Neural Network Classifier , IET Computer Vision, July 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cvi.2016.0425.
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