Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence

Abstract Background and objective Early detection and classification of skin cancer are critical for improving patient outcomes. Dermoscopic image analysis using Computer-Aided Diagnostics (CAD) is a powerful tool to assist dermatologists in identifying and classifying skin lesions. Traditional mach...

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Bibliografische gegevens

Hoofdauteurs:	Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2025-07-01
Reeks:	BMC Medical Informatics and Decision Making
Onderwerpen:	Dermoscopy Skin cancer Deep learning Network-level fusion Shallow neural network Explainable artificial intelligence
Online toegang:	https://doi.org/10.1186/s12911-025-03051-2
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