Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning-Reference-Cited by-同舟云学术

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Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning

Published:2024-08 Issue: Volume:178 Page:108798
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Attallah Omneya^ORCID

Publisher

Elsevier BV

Reference88 articles.

1. Skin cancer detection from dermoscopic images using deep learning and fuzzy k ‐means clustering;Nawaz;Microsc. Res. Tech.,2022

2. Teledermatology: state-of-the-art and future perspectives;Nami;Expet Rev. Dermatol.,2012

3. Economic burden of skin cancer treatment in the USA: an analysis of the medical expenditure panel survey data, 2012–2018;Kao;Cancer Causes Control,2023

4. The global burden of skin cancer: a longitudinal analysis from the Global Burden of Disease Study, 1990–2017;Urban;JAAD Inter.,2021

5. Optical technologies for the improvement of skin cancer diagnosis: a review;Rey-Barroso;Sensors,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets;Scientific Reports;2024-09-04

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