Learned preprocessing yields modest and configuration-dependent gains in discrimination and calibration for elbow abnormality detection, with the raw DenseNet121 baseline remaining competitive.
Quantitative Imaging in Medicine and Surgery15(3), 2529–2546 (2025)
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Patient-Level Elbow Abnormality Detection: Leakage-Aware Evaluation of Learned Preprocessing, Calibration, and Triage-Oriented Operating Points
Learned preprocessing yields modest and configuration-dependent gains in discrimination and calibration for elbow abnormality detection, with the raw DenseNet121 baseline remaining competitive.