Automatic correction of performance drift under acquisition shift in medical image classification

Abstract Image-based prediction models for disease detection are sensitive to changes in data acquisition such as the replacement of scanner hardware or updates to the image processing software. The resulting differences in image characteristics may lead to drifts in clinically relevant performance...

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Bibliographic Details
Main Authors: Mélanie Roschewitz, Galvin Khara, Joe Yearsley, Nisha Sharma, Jonathan J. James, Éva Ambrózay, Adam Heroux, Peter Kecskemethy, Tobias Rijken, Ben Glocker
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-42396-y