AI RESEARCH
Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases
arXiv CS.AI
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ArXi:2603.21935v1 Announce Type: cross Quantitative disease severity scoring in medical imaging is costly, time-consuming, and subject to inter-reader variability. At the same time, clinical archives contain far longitudinal imaging data than expert-annotated severity scores. Existing self-supervised methods typically ignore this chronological structure. We