Engineering Commons^™

Visualizing And Interpreting Feature Reuse Of Pretrained Cnns For Histopathology, Mara Graziani, Vincent Andrearczyk, Henning Muller

Session 6: Applications, Architecture and Systems Integration

Reusing the parameters of networks pretrained on large scale datasets of natural images, such as ImageNet, is a common technique in the medical imaging domain. The large variability of objects and classes is, however, drastically reduced in most medical applications where images are dominated by repetitive patterns with, at times, subtle differences between the classes. This paper takes the example of finetuning a pretrained convolutional network on a histopathology task. Because of the reduced visual variability in this application domain, the network mostly learns to detect textures and simple patterns. As a result, the complex structures that maximize the channel …