2 papers
cs.CV2026
Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction
Liyin Chen, Nazlee Zebardast, Mengyu Wang +2
Predicting disease progression from longitudinal imaging is useful for clinical decision making and trial design. Recent methods have moved toward increasing generative complexity,…
cs.CV2026
CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation
Mohammad Eslami, Dhanvinkumar Ganeshkumar, Saber Kazeminasab +8
We present CataractSAM-2, a domain-adapted extension of Meta's Segment Anything Model 2, designed for real-time semantic segmentation of cataract ophthalmic surgery videos with hig…