Convolutional Neural Network - CS256-FC256

Convolutional Neural Network (CNN) trained for patch-based classification of invasive breast cancer from histopathology digital images. The CNN architecture is 256 units in convolution and pooling layers, 256 units of fully connected layer and 2 units for output classification layer of softmax. The model was trained with Torch7.