Uncertainty-aware skin cancer classification using entropy-guided multi-phase ensemble learning

Reliable skin cancer detection from dermoscopic images is essential for early diagnosis and improved clinical outcomes. Although deep learning models perform strongly on benchmark datasets, most approaches apply a uniform classifier to all samples and treat uncertainty as a post-hoc measure rather t...

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Bibliografiske detaljer

Principais autores:	Ahmed Jameel Mohammed, Masoud M. Hassan
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2026-12-01
Serier:	Results in Engineering
Fag:	Skin lesion classification Deep ensemble learning Entropy-based routing Uncertainty quantification Targeted oversampling
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2590123026030100
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