AI RESEARCH
Don't Mind the Gaps: Implicit Neural Representations for Resolution-Agnostic Retinal OCT Analysis
arXiv CS.CV
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ArXi:2601.02447v2 Announce Type: replace Routine clinical imaging of the retina using optical coherence tomography (OCT) is performed with large slice spacing, resulting in highly anisotropic images and a sparsely scanned retina. Most learning-based methods circumvent the problems arising from the anisotropy by using 2D approaches rather than performing volumetric analyses. These approaches inherently bear the risk of generating inconsistent results for neighboring B-scans. For example, 2D retinal layer segmentations can have irregular surfaces in 3D.