2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
CVPR 2017oral
The inability to interpret the model prediction in semantically and visually meaningful ways is a well-known shortcoming of most existing computer-aided diagnosis methods. In this paper, we propose MDNet to establish a direct multimodal mapping between medical images and diagnostic reports that can…