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Found 2 papers, 1 papers with code
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudinal progression.
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma
Primary open-angle glaucoma (POAG) is a chronic and progressive optic nerve condition that results in an acquired loss of optic nerve fibers and potential blindness.
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