Learned preprocessing yields modest and configuration-dependent gains in discrimination and calibration for elbow abnormality detection, with the raw DenseNet121 baseline remaining competitive.
In: 2020 3rd International Conference on Communication Sys- Patient-Level Elbow Abnormality Detection 13 tem, Computing and IT Applications (CSCITA), pp
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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.