31 docs tagged with "figshare"

705 optic disc-centred fundus photographs (396 normal + 309 glaucoma) from Hospital Clinico San Carlos. Expert-annotated binary glaucoma classification.

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

1,345 fundus images captured across multiple camera manufacturers with OD/OC segmentation + glaucoma classification labels.

Swept-source OCT volumes for AMD and DME with three-dimensional pigment epithelial detachment and intraretinal-fluid masks.

100 infant eyes with 491 image pairs annotated with ground-truth control points and vessel masks. Enables pediatric / ROP-relevant fundus registration research.

Wide-field fundus images from premature infants for ROP staging (Stages 1–5 + Plus Disease). Expert-annotated for AI-assisted ROP diagnosis and screening.

A set of 2,246 fundus images with continuous mean opinion scores from 0 to 100, three quality grades, and the individual scores of six ophthalmologists.

800 high-resolution (2048x2048) fundus images with pixel-wise vessel segmentation. Covers normal, DR, AMD, glaucoma.

40 patients with paired pre-operative fundus images and intra-operative biomicroscopy video clips. Annotated for optic disc and vessel segmentation across domains.

1,099 pediatric fundus images from 483 premature infants annotated for retinopathy of prematurity (ROP) staging. Standard fundus (RetCam) — not ultra-widefield; `rop_uwf_intelligent` is retained as th

100 high-resolution color fundus images with pixel-wise artery / vein / crossing labels from a mixed disease cohort.

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

4,011 color fundus images labeled for high-myopia vs pathological-myopia classification — largest public dataset for HM/PM separation.

9,939 color fundus images from Japanese patients with DR grading labels (Davis grading scale).

198 fundus images (from MESSIDOR) with pixel-wise segmentation for 10 biomarkers (lesions + structures) + DR and ME severity grades.

6,272 AS-OCT images + 392 anterior-segment photographs for corneal opacity assessment with expert grading. First large public multimodal AS-OCT + photo dataset for cornea.

Multi-modal DR dataset combining color fundus photographs (CFP), OCT B-scans, and ultra-widefield (UWF) fundus images, annotated for DR detection and severity grading. Published in Nature Scientific D

Multi-source heterogeneous retinal fundus image-quality assessment dataset for training and evaluating quality-control models.

1,693 color and 1,739 infrared ocular-surface images from five clinical centers with pixel-level tear-meniscus segmentation. First multi-center dry-eye imaging benchmark.

16,530 ultra-widefield fundus images from 8,405+ patients (age 0–90) annotated for 38 ophthalmic diseases and 67 fundus features. Released alongside the FairerOPTH study on sexism and ageism in ophtha

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

700 Optos ultra-wide-field fundus images with multi-disease classification labels and image-quality flags from real-world clinical practice.

Ophthalmic visual question-answering benchmark dataset released as supplementary data for evaluating multimodal language models in ophthalmology.

Ophthalmology-oriented WeChat article metadata and image-link dataset for visual question answering and multimodal language-model evaluation.

Retinal vessel analysis benchmark with vessel masks, artery/vein masks and skeletons, bifurcation points, vascular trees, and abnormality annotations.

3,012 OCT B-scans from 146 eyes / 130 patients with retinal vein occlusion. Dual-task labels: fluid segmentation + retinal-layer segmentation. Detection of macular lesions.

Longitudinal OCT angiography projection maps with vessel labels, clinical text, and treatment/follow-up groupings.

1,219 color fundus images with DR severity grading + pixel-level exudate segmentation masks. Multi-center (SUSTech + Sun Yat-sen University).

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

1,630 Optos ultra-wide-field fundus images from 809 patients graded for diabetic retinopathy (5-class ICDR) by senior ophthalmologists.

2,031 ultra-widefield fundus images for AI-assisted intraocular tumor detection and classification. Six categories: Normal, Choroidal Hemangioma (CH), Retinal Capillary Hemangioma (RCH), Choroidal Ost