xCViT: Improved Vision Transformer Network with Fusion of CNN and Xception for Skin Disease Recognition with Explainable AI

Skin cancer is the most prevalent cancer globally, primarily due to extensive exposure to Ultraviolet (UV) radiation. Early identification of skin cancer enhances the likelihood of effective treatment, as delays may lead to s... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.059301
Citations
12
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
12.54
Controls
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article

xCViT: Improved Vision Transformer Network with Fusion of CNN and Xception for Skin Disease Recognition with Explainable AI

Robertas Damaševičius, Armughan Ali, Hooria Shahbaz
12 citations
Computers, materials & continua/Computers, materials & continua (Print)
Cutaneous Melanoma Detection and Management
12.54
article

xCViT: Improved Vision Transformer Network with Fusion of CNN and Xception for Skin Disease Recognition with Explainable AI

Robertas Damaševičius, Armughan Ali, Hooria Shahbaz
article en
12 citations

Abstract

Skin cancer is the most prevalent cancer globally, primarily due to extensive exposure to Ultraviolet (UV) radiation. Early identification of skin cancer enhances the likelihood of effective treatment, as delays may lead to s... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(1)
Good health and well-being
Openalex Percentile: Top 1%
Cutaneous Melanoma Detection and Management
12.54
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xCViT: Improved Vision Transformer Network with Fusion of CNN and Xception for Skin Disease Recognition with Explainable AI — Robertas Damaševičius, Armughan Ali, et al. · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS