DL Methods for Skin Lesions Automated Diagnosis In Smartphone Images
Author:
Affiliation:
1. University of Carthage,SERCOM Laboratory, Tunisia Polytechnic School,La Marsa,Tunisia,2078
2. University of Gabes,2MACS Laboratory, National Engineering School of Gabes,Gabes,Tunisia,6029
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10182387/10182368/10183254.pdf?arnumber=10183254
Reference26 articles.
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2. Classification of skin cancer from dermoscopic images using deep neural network architectures;sm;Multimed Tools Appl,2022
3. PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones
4. An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models;ali;Mach Learn Appl,2021
5. Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC);gutman;ArXiv,2016
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