Modified EfficientNet-B0 Architecture Optimized with Quantum-Behaved Algorithm for Skin Cancer Lesion Assessment

<b>Background/Objectives</b>: Skin cancer is one of the most common diseases in the world, whose early and accurate detection can have a survival rate more than 90% while the chance of mortality is almost 80% in case of late diagnostics. <b>Methods</b>: A modified EfficientNet-B0 is developed based...

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Hauptverfasser:	Abdul Rehman Altaf, Abdullah Altaf, Faizan Ur Rehman
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-12-01
Schriftenreihe:	Diagnostics
Schlagworte:	skin cancer classification HAM10000, ISIC 2019 and MSLD v2.0 datasets modified EfficientNet-B0 quantum behaved optimization algorithm Monte Carlo simulation
Online-Zugang:	https://www.mdpi.com/2075-4418/15/24/3245
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