Skin Lesion Segmentation Using Recurrent Attentional Convolutional Networks

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 wit...

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Bibliographic Details
Main Authors: Peng Chen, Sa Huang, Qing Yue
Format: Article
Language:English
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/

Internet

https://ieeexplore.ieee.org/document/9877802/

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