Skin Lesion Segmentation Using Recurrent Attentional Convolutional Networks

Accurate segmentation of lesion region from skin lesion images can provide guidance for medical experts to make an early diagnosis of skin cancer. In this study, we construct Recurrent Attentional Convolutional Networks (O-Net), which exploits the skin lesion’s attention class feature with a...

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Bibliographic Details

Main Authors:	Peng Chen, Sa Huang, Qing Yue
Format:	Artigo
Language:	Inglês
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Skin lesions automatic image segmentation O-Net melanoma attention class feature lesion segmentation
Online Access:	https://ieeexplore.ieee.org/document/9877802/
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