AS-Net: Attention Synergy Network for skin lesion segmentation

作者：

Highlights：

• Proposes AS-Net to enhance the discriminative ability for skin lesion segmentation.

• Combines spatial and channel attentions for feature learning of skin lesions.

• A weighted loss function is presented to emphasize the skin lesion region.

• Our model outperforms state-of-the-art methods on three publicly available datasets.

摘要

•Proposes AS-Net to enhance the discriminative ability for skin lesion segmentation.•Combines spatial and channel attentions for feature learning of skin lesions.•A weighted loss function is presented to emphasize the skin lesion region.•Our model outperforms state-of-the-art methods on three publicly available datasets.

论文关键词：Attention mechanism,Skin lesion segmentation,Convolutional neural network,Dermoscopy

论文评审过程：Received 16 August 2021, Revised 17 January 2022, Accepted 28 March 2022, Available online 9 April 2022, Version of Record 20 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117112