Providing computing solutions for exascale challenges
A deep learning platform for digital histopathology. This 2nd layer used the patches extracted by layer I to train a convolutional neural network.
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 2nd layer used the patches and labels extracted by layer I to train a convolutional neural network to classify the two patch types. Different models can be chosen by a configuration parameter. Keras and Tensorflow are used to implement this layer.