An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work well for natural images might not be applicable to medical image analysis... (read more)

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Methods used in the Paper


METHOD TYPE
RPN
Region Proposal
Convolution
Convolutions
RoIPool
RoI Feature Extractors
Softmax
Output Functions
Faster R-CNN
Object Detection Models