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HA-DLC reveals that effectively modeling intra-tumoural heterogeneity can dramatically improve tumour classification accuracy from multiparametric MRI.
Achieving a 91.54% AUC, DiffSight-Former reveals critical insights into glaucoma progression by effectively modeling structural changes over time from sequential fundus images.
EasyLens amplifies subtle lesion representations in medical VLMs without additional training, dramatically improving detection rates in challenging clinical scenarios.
