Between the input values and the predicted identity of the image is a proverbial “black box” of unrecognizable numbers across multiple layers. “The problem with neural networks is that we can’t see ...

Many neural networks distinguish between three layers of nodes: input, hidden, and output. The input layer has neurons that accept the raw input; the hidden layers modify that input; and the ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image volumes. Unlike previous works that processed the input volumes slice-wise or patch-wise, the ...