Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique

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Detalhes bibliográficos
Publicado no:	Applied Computational Intelligence and Soft Computing vol. 2025 (2025)
Autor principal:	Tani, Ishrat Zahan
Outros Autores:	Kah Ong Michael Goh, Islam, Md Nazmul, Md Tarek Aziz, Mahmud, S M Hasan, Nandi, Dip
Publicado em:	John Wiley & Sons, Inc.
Assuntos:	Europe Feature extraction Outliers (statistics) Accuracy Labels Datasets Classification Applications programs Noise prediction Public health Medical imaging Feature selection Diagnosis Colorectal cancer Machine learning Entropy Data augmentation Medical prognosis Feces Image filters Cancer Neural networks Medical research Support vector machines Computer aided design > CAD Literature reviews Deep learning Trustworthiness Metamodels
Acesso em linha:	Citation/Abstract Full Text Full Text - PDF
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