Detecting and classifying lesions in mammograms with Deep Learning

Understand

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms.

• The benefits of current CAD technologies appear to be contradictory and they should be improved to be ultimately considered useful.
• Since 2012 deep convolutional neural networks (CNN) have been a tremendous success in image recognition, reaching human performance.
• These methods have greatly surpassed the traditional approaches, which are similar to currently used CAD solutions.