Benchmark finds segmentation dominates volume and stage tasks while classifier choice dominates survival, histology, and age prediction, recommending Curia with tumor segmentation and CatBoost as a safe default.
, author Laversanne, M
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Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices
Benchmark finds segmentation dominates volume and stage tasks while classifier choice dominates survival, histology, and age prediction, recommending Curia with tumor segmentation and CatBoost as a safe default.