34 docs tagged with "zenodo"

Segmentation masks for the vascular arcade and optic nerve head derived from APTOS 2019 fundus images.

Retinal OCTA scans labeled for artifact type, artifact severity, signal strength, and image quality.

Extended phase/time labels for the Cataract-101 surgical-video dataset.

Orbscan corneal topography maps and structured clinical annotations for keratoconus detection.

2,000 regular fundus images (500 patients × 2 fields × 2 eyes) plus 256 ultra-widefield fundus images labeled for DR severity (ICDR grades 0-4) and image quality assessment (gradable/ungradable). From

Fundus-image VQA dataset for diabetic macular edema derived from IDRiD and e-ophtha.

Extension of the DME VQA dataset with logical-relation consistency annotations.

174 OCTA images for DR lesion segmentation (IRMA, NPA, NV), image quality assessment, and DR grading (3-class).

Raw and processed eye-tracking data from glaucoma patients with asymmetrical visual-field loss during free viewing.

Five-domain optic disc/cup segmentation benchmark composed from REFUGE, Drishti-GS, ORIGA, RIGA, and related sources.

Extended HRF annotations for optic disc, cup, retinal vessels, and alpha/beta peripapillary zones.

Phase-contrast microscopy fields of cultured human conjunctival goblet cells with semantic and instance-compatible masks.

Retinal fundus dataset for five-class diabetic-retinopathy grading.

1,000 fundus images spanning 39 ophthalmic disease categories from the Joint Shantou International Eye Center. Used for multi-class fundus disease classification.

101,442 gradable fundus images labeled as referable (RG) or non-referable (NRG) for glaucoma. Image data from EyePACS LLC; labels from Rotterdam Eye Hospital expert graders.

Text/tabular dataset supporting readability and language-access analyses in ophthalmology.

Anonymized retinal fundus images from an ophthalmology clinic in M'Sila, Algeria for diabetic-retinopathy classification.

~30,000 longitudinal OCT B-scans across multiple patient visits, annotated for AMD change detection and progression monitoring.

A multicenter collection of 186 minimally invasive glaucoma surgery (MIGS) videos with annotations for surgical-phase recognition and semantic segmentation of instruments and anatomical structures.

Augmented DRIVE, STARE, and CHASE_DB1 vessel-segmentation images for out-of-distribution robustness evaluation.

A set of 1,110 optic nerve head OCT volumes from 624 patients, including 847 scans with primary open angle glaucoma and 263 healthy scans.

198 annotated 3D SD-OCT volumes (3,762 B-scans) with pixel-level labels for 13 anatomic and pathological retinal features: retina, choroid, vitreous, RPE, hyaloid, ERM, fluid, subretinal material, hyp

Longitudinal OCT + fundus dataset from AMD/DME patients across multiple clinical visits. 9,408 OCT B-scans have biomarker labels for 8 categories (fluid, drusen, scarring, PED variants, etc.); 78,000+

Cropped periorbital images with multi-structure masks for the iris, sclera, eyelid, caruncle, and eyebrow.

757 color fundus images from a Paraguayan cohort with 7-class DR grading labels. Adds Latin-American representation.

Fourteen thousand nine hundred seventy-six near-infrared ocular images for eye-state detection and coarse gaze-direction classification during ophthalmic measurement workflows.

Auxiliary RFMiD 2.0 retinal fundus dataset spanning 51 disease categories.

RIGA/MESSIDOR-derived benchmark for optic disc and cup segmentation domain adaptation.

229 OCTA images (ROSE-1 + ROSE-2) with pixel-level retinal vessel segmentation ground truth.

Small-incision cataract surgery video dataset with train/validation/test video archives for phase-recognition research.

Synthetic circumpapillary OCT images for healthy and glaucomatous eyes with retinal-layer masks and RNFL thickness values.

Portable fundus images and segmentations for retinal microvascular network analysis.

Extension of TREND portable fundus imaging for chronic-disease and microvascular analysis.

Fundus and synthetic OCTA vessel-segmentation resource for domain-transfer research.