Facts About Computed Tomography (CT) Scans | Radiation and Your Health - Centers for Disease Control and Prevention | CDC (.gov)

We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractAccurate classification of macular neovascularization (MNV) subtypes and reliable prediction of anti-VEGF treatment response are essential for individualized management of neovascular age-related macular degeneration (nAMD), yet existing public AMD-related datasets lack multimodal imaging with fine-grained, longitudinal annotations to support these tasks. Here we present PCO-nAMD, a rigorously curated dataset of Paired color fundus photography (CFP) and optical coherence tomography (OCT) images designed to facilitate multimodal research on MNV subtype classification and treatment response prediction in nAMD.