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

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Bibliografiset tiedot
Julkaisussa:	Applied Computational Intelligence and Soft Computing vol. 2025 (2025)
Päätekijä:	Tani, Ishrat Zahan
Muut tekijät:	Kah Ong Michael Goh, Islam, Md Nazmul, Md Tarek Aziz, Mahmud, S M Hasan, Nandi, Dip
Julkaistu:	John Wiley & Sons, Inc.
Aiheet:	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
Linkit:	Citation/Abstract Full Text Full Text - PDF
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