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Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation. (arXiv:2210.16898v1 [eess.IV])
Nov. 1, 2022, 1:15 a.m. | Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, Dorit Merhof
cs.CV updates on arXiv.org arxiv.org
Melanoma is caused by the abnormal growth of melanocytes in human skin. Like
other cancers, this life-threatening skin cancer can be treated with early
diagnosis. To support a diagnosis by automatic skin lesion segmentation,
several Fully Convolutional Network (FCN) approaches, specifically the U-Net
architecture, have been proposed. The U-Net model with a symmetrical
architecture has exhibited superior performance in the segmentation task.
However, the locality restriction of the convolutional operation incorporated
in the U-Net architecture limits its performance in capturing …
More from arxiv.org / cs.CV updates on arXiv.org
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