Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning

Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning

Skin lesion classification is an effective approach aided by computer vision for the diagnosis of skin cancer. Though deep learning models presented advantages over traditional methods and brought tremendous breakthroughs, a precise diagnosis is still challenging because of the intra-class variation...

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Bibliographic Details
Main Authors: Jing Wu, Wei Hu, Yuan Wen, WenLi Tu, XiaoMing Liu
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
attention
dermoscopy
residual learning
densely connected convolutional networks
Online Access:https://www.mdpi.com/1424-8220/20/24/7080

Internet

https://www.mdpi.com/1424-8220/20/24/7080

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