Disagreement serves an explainable ensemble model based on Dempster–Shafer evidence-fusion for an improved skin lesion classification-Reference-Cited by-同舟云学术

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Disagreement serves an explainable ensemble model based on Dempster–Shafer evidence-fusion for an improved skin lesion classification

Published:2024-12 Issue: Volume:98 Page:106761
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Dakhli Rym,Barhoumi Walid^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Skin lesion classification based on multi-model ensemble with generated levels-of-detail images;Tsai;Biomed. Signal Process. Control,2023

2. Machine learning and deep learning methods for skin lesion classification and diagnosis: A systematic review;Kassem;Diagnostics,2021

3. Efficient fusion of handcrafted and pre-trained CNNs features to classify melanoma skin cancer;Filali;Multimedia Tools Appl.,2020

4. Automatic skin lesion classification based on mid-level feature learning;Liu;Comput. Med. Imaging Graph.,2020

5. Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support;Harangi;Biomed. Signal Process. Control,2020

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