Detection and Classification of Colorectal Cancer Types

Versione 1.0.0 (2,58 KB) da Herman Khalid
Using Deep Residual Learning based on ResNet-50 with Adam Optimization Method
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Aggiornato 30 ott 2025

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This research explores deep learning methods using ResNet architectures and optimization methods for colorectal cancer classification. The ResNet-50 model with Adam optimization achieved 99.86% accuracy, outperforming other methods and proving effective in colon tumor segmentation.

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Herman Khalid (2025). Detection and Classification of Colorectal Cancer Types (https://it.mathworks.com/matlabcentral/fileexchange/182433-detection-and-classification-of-colorectal-cancer-types), MATLAB Central File Exchange. Recuperato .

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1.0.0