DL Methods for Skin Lesions Automated Diagnosis In Smartphone Images-Reference-Cited by-同舟云学术

DL Methods for Skin Lesions Automated Diagnosis In Smartphone Images

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Sakl Marwen¹,Essid Chaker¹,Salah Bassem Ben¹,Sakli Hedi²

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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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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1. Skin Lesion Segmentation Using U-Net With Different Backbones: Comparative Study;2023 IEEE Afro-Mediterranean Conference on Artificial Intelligence (AMCAI);2023-12-13