19 docs tagged with "cc0"

Adaptive-optics scanning-light-ophthalmoscopy montages and regions of interest for RPE morphometry and cone-to-RPE analysis.

1,168 anterior-segment OCT images of keratitis with per-pixel lesion, cornea, and iris segmentation labels. Enables 3D reconstruction from B-scan stacks.

Surgical-microscope and intraoperative-OCT data for autonomous robotic retinal-vein cannulation in ex vivo porcine eyes.

Six near-infrared or synthetic iris subsets spanning close-range, lamp variation, twins, distance, large-scale, and synthetic recognition.

Multicenter uveal-melanoma gene-expression, PRAME, clinical, and metastasis-free-survival data for prognostic modeling.

Right-eye corneal OCT and rotating Scheimpflug tomography data with MATLAB code for automatic corneal-layer segmentation.

Repeated light/dark SD-OCT acquisitions and retinal reflectivity profiles from healthy, neuromyelitis-optica, and Alzheimer groups.

Eye-level demographics, clinical measurements, and SD-OCT-derived macular ganglion-cell-complex thickness for glaucoma assessment.

263 eyes × 1,115 visits. Multi-modal: VF (HFA 24-2), fundus photographs, OCT RNFL, IOP, CCT. Labels: VF progression, OD segmentation, glaucoma stage.

Fundus images for glaucoma detection from Harvard Medical School / Mass Eye and Ear. Binary glaucoma classification.

OCT screen recordings, annotated frames, and pressure data from robot-assisted subretinal injections in ex vivo porcine eyes.

Anonymized clinical metadata and automated 3D OCT segmentation volumes for neovascular age-related macular degeneration.

Longitudinal quantitative OCT biomarkers and treatment-response variables for predicting visual acuity in neovascular AMD.

1,672 OCT B-scans from AMD, DME, and healthy controls with 5,016 multi-grader layer annotations + lesion detection labels.

500 OCT images: NORMAL (206), AMD (50), CSC (128), DR (59), MH (57). High-resolution B-scans for 5-class classification.

3,859 OCT B-scan images (125 eyes, 119 patients) for macular hole segmentation. Each PNG is side-by-side: left half raw B-scan, right half colour-coded mask for 4 classes: Retina, Macular Hole, Intrar

Clinical records combining retinal nerve fiber layer, visual-field, corneal-thickness, and intraocular-pressure features.

~12,000 fundus images aggregated from 19 public glaucoma datasets with standardized disc/cup/vessel channels and unified labels. CC0 — fully public domain.

T2-weighted orbital MRI volumes with multi-organ segmentation labels (extraocular muscles, optic nerve, lacrimal gland, orbital fat) and paired clinical data. First public orbital MRI benchmark for th