Filter sharing: Efficient learning of parameters for volumetric convolutions

Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar +2

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…