Recent Advances in Diagnosis of Skin Lesions Using Dermoscopic Images Based on Deep Learning
Author:
Affiliation:
1. Department of Electronics Design, Mid Sweden University, Sundsvall, Sweden
2. Department of Industrial Engineering, University of Salerno, Fisciano, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09858890.pdf?arnumber=9858890
Reference233 articles.
1. Neural Architecture Search for Skin Lesion Classification
2. DSNet: Automatic dermoscopic skin lesion segmentation
3. Developed Newton-Raphson based deep features selection framework for skin lesion recognition
4. Attention Residual Learning for Skin Lesion Classification
5. A multilevel features selection framework for skin lesion classification
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