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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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2026-12-01
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| Seri Bilgileri: | Results in Engineering |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2590123026030100 |
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