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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-42396-y |