Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment
Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment explores A 2.5D framework for accurate retinal layer segmentation in OCT images, improving glaucoma assessment by fusing cross-slice features for better consistency and robustness.. Commercial viability score: 7/10 in Medical AI.
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