Expert identification of visual primitives used by CNNs during mammogram classification

13 Mar 2018Jimmy WuDiondra PeckScott HsiehVandana DialaniConstance D. LehmanBolei ZhouVasilis SyrgkanisLester MackeyGenevieve Patterson

This work interprets the internal representations of deep neural networks trained for classification of diseased tissue in 2D mammograms. We propose an expert-in-the-loop interpretation method to label the behavior of internal units in convolutional neural networks (CNNs)... (read more)

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