Providing computing solutions for exascale challenges
A deep learning platform for digital histopathology. This 3rd layer focuses on network robustness and interpretability.
CamNET is a deep learning platform for digital histopathology aimed at detecting tumor tissue in gigapixel scans of slides containing breast lymph nodes tissue. Currently, a 'human' expert needs to inspect these slides in order to find suspected tumors, which is very labor intensive. CamNET attempts to automate this using a deep learning approach.
This 3rd layer focuses on determining the robustness and interpretability of the convolutional neural network trained by layer 2. This is an important feature, as the physicians need to understand why the network labels certain patches as containing tumors (or not).