Filter sharing: Efficient learning of parameters for volumetric convolutions

8 Dec 2016Rahul VenkataramaniSheshadri ThiruvenkadamPrasad SudhakarHariharan RavishankarVivek Vaidya

Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them. In medical applications where training data is hard to come by, these sophisticated machine learning models are difficult to train... (read more)

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