Calibrating Where It Matters: Constrained Temperature Scaling

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
Number of pages4
Publication statusPublished - 16 Dec 2023
EventMedical Imaging Meets NeurIPS: An official NeurIPS Workshop - Ernest N. Morial Convention Center, New Orleans, United States
Duration: 16 Dec 202316 Dec 2023
https://sites.google.com/view/med-neurips2023/submissions?authuser=0

Workshop

WorkshopMedical Imaging Meets NeurIPS
Country/TerritoryUnited States
CityNew Orleans
Period16/12/2316/12/23
Internet address

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