Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique
Colorectal cancer is a significant global health issue, ranking as the third most common cancer and the second leading cause of cancer-related deaths worldwide. Early diagnosis of this disease is of utmost importance to increase the survival rate and enhance the healthcare system. Many machine learn...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/acis/6552580 |
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