Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation
TL
TL;DR
A novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate Convolutional autoencoder is proposed, showing highly competitive performance when compared with U-Net and it’s residual variant.
Abstract
We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional autoencoder. Our attention architecture is well suited for incorporation with deep convolutional networks. We evaluate our model on benchmark segmentation datasets in skin cancer segmentation and lung lesion segmentation. Results show highly competitive performance when compared with U-Net and it’s residual variant.
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