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

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Bibliographische Detailangaben
Veröffentlicht in:	Applied Computational Intelligence and Soft Computing vol. 2025 (2025)
1. Verfasser:	Tani, Ishrat Zahan
Weitere Verfasser:	Kah Ong Michael Goh, Islam, Md Nazmul, Md Tarek Aziz, Mahmud, S M Hasan, Nandi, Dip
Veröffentlicht:	John Wiley & Sons, Inc.
Schlagworte:	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
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