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Chattarin Pumtako

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Preprint Aug 2026

Deep learning-based computed tomography (CT) derived body composition classifier for colorectal cancer patients

Optimize deep learning models, particularly GoogLeNet and AlexNet, can automate CT-derived body composition analysis with a Mean Percentage Error of 4.96% for SMA and 8.12% for SMD, and have the potential to streamline clinical practice by reducing the time and expertise required for manual segmentation.

Eve Harling, Chattarin Pumtako, B. Porr et al. · 0 citations

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