首页|期刊导航|Computer Modeling in Engineering & Sciences|Hybrid Fusion Net with Explanability:A Novel Explainable Deep Learning-Based Hybrid Framework for Enhanced Skin Lesion Classification Using Dermoscopic Images

Hybrid Fusion Net with Explanability:A Novel Explainable Deep Learning-Based Hybrid Framework for Enhanced Skin Lesion Classification Using Dermoscopic Images

Mohamed Hammad Mohammed El Affendi Souham Meshoul

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1055-1086,32.

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1055-1086,32.DOI:10.32604/cmes.2025.072650

Hybrid Fusion Net with Explanability:A Novel Explainable Deep Learning-Based Hybrid Framework for Enhanced Skin Lesion Classification Using Dermoscopic Images

Mohamed Hammad ¹Mohammed El Affendi ²Souham Meshoul³

作者信息

1. EIAS Data Science Lab,College of Computer and Information Sciences,Prince Sultan University,Riyadh,11586,Saudi Arabia Department of Information Technology,Faculty of Computers and Information,Menoufia University,Shibin El Kom,32511,Egypt
2. EIAS Data Science Lab,College of Computer and Information Sciences,Prince Sultan University,Riyadh,11586,Saudi Arabia
3. Information Technology Department,College of Computer and Information Sciences,Princess Nourah Bint Abdulrahman University,Riyadh,11671,Saudi Arabia
折叠

摘要

关键词

AI/CNN/deep learning/image classification/model optimization/skin cancer detection

分类

医药卫生

引用本文复制引用

Mohamed Hammad,Mohammed El Affendi,Souham Meshoul..Hybrid Fusion Net with Explanability:A Novel Explainable Deep Learning-Based Hybrid Framework for Enhanced Skin Lesion Classification Using Dermoscopic Images[J].Computer Modeling in Engineering & Sciences,2025,145(10):P.1055-1086,32.

基金项目

supported by Princess Nourah bint AbdulrahmanUniversity Researchers Supporting Project number(PNURSP2025R196),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia. （PNURSP2025R196）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

访问量1

下载量0

段落导航