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

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Dades bibliogràfiques
Publicat a:	Applied Computational Intelligence and Soft Computing vol. 2025 (2025)
Autor principal:	Tani, Ishrat Zahan
Altres autors:	Kah Ong Michael Goh, Islam, Md Nazmul, Md Tarek Aziz, Mahmud, S M Hasan, Nandi, Dip
Publicat:	John Wiley & Sons, Inc.
Matèries:	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
Accés en línia:	Citation/Abstract Full Text Full Text - PDF
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