Abstract
We consider calibration of convolutional classifiers for diagnostic decision making. Clinical decision makers can use calibrated classifiers to minimise expected costs given their own cost function. Such functions are usually unknown at training time. If minimising expected costs is the primary aim, algorithms should focus on tuning calibration in regions of probability simplex likely to effect decisions. We give an example, modifying temperature scaling calibration, and demonstrate improved calibration where it matters using convnets trained to classify dermoscopy images.
Original language | English |
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Number of pages | 4 |
Publication status | Published - 16 Dec 2023 |
Event | Medical Imaging Meets NeurIPS: An official NeurIPS Workshop - Ernest N. Morial Convention Center, New Orleans, United States Duration: 16 Dec 2023 → 16 Dec 2023 https://sites.google.com/view/med-neurips2023/submissions?authuser=0 |
Workshop
Workshop | Medical Imaging Meets NeurIPS |
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Country/Territory | United States |
City | New Orleans |
Period | 16/12/23 → 16/12/23 |
Internet address |