Paper

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images

Published Dec 1, 2023 · Ke Yu, Li Sun, Junxiang Chen

Medical image analysis

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Abstract

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Study Snapshot

DrasCLR, a novel self-supervised learning framework for 3D lung CT images, improves prediction and segmentation performance in medical imaging by capturing subtle disease patterns and representing anatomy-specific features.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images

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