PocketNet: A Smaller Neural Network for Medical Image Analysis. (arXiv:2104.10745v3 [eess.IV] UPDATED)

Medical imaging deep learning models are often large and complex, requiring
specialized hardware to train and evaluate these models. To address such
issues, we propose the PocketNet paradigm to reduce the size of deep learning
models by throttling the growth of the number of channels in convolutional
neural networks. We demonstrate that, for a range of segmentation and
classification tasks, PocketNet architectures produce results comparable to
that of conventional neural networks while reducing the number of parameters by
multiple orders …

analysis arxiv image medical network neural network