96 docs tagged with "segmentation"

1200 fundus images for AMD classification, five-class lesion segmentation, fovea/optic disc localisation.

One hundred retinal fundus images from Armed Forces Institute of Ophthalmology, Rawalpindi, with expert annotations for vessels and hypertensive retinopathy, diabetic retinopathy, and papilledema task

3,049 OCT B-scan images (1,140×380 px) from 138 wet AMD patients (156 eyes) with pixel-level annotations for 5 lesion classes: Subretinal Fluid (SRF), Intraretinal Fluid (IRF), Ellipsoid Zone Continui

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

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

1,136 OCT B-scans from 24 AMD patients. Expert annotations for 3 retinal fluid types (IRF, SRF, PED) and 3 retinal layer boundaries for joint layer and fluid segmentation.

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

Fundus photographs from Bangladesh Eye Hospital for glaucoma detection. Includes optic cup/disc crops and vessel segmentation masks alongside binary glaucoma/normal labels.

Semantic segmentation labels for 4,670 frames from 25 cataract surgery videos (CATARACTS challenge). 25 anatomy and instrument classes.

1000 cataract surgery videos from multiple surgeons annotated for 10 surgical phases, instrument segmentation, and tool presence detection. First large-scale cataract surgical video dataset.

3,000 cataract surgery procedures, 1,134.2 hours of video with phase annotations, instance segmentation, tracking, and skill scoring. Largest public cataract-surgery-video resource.

50 annotated 3D SD-OCT volumes (7,050 B-scans, 640×385 px) from subjects with vitreomacular adhesion (VMA, 25 eyes) and vitreomacular traction (VMT, 25 eyes). Each volume: 141 B-scans over 2×7×7 mm. A

Fundus photographs and segmentation masks for subretinal fluid in central serous chorioretinopathy, with healthy-eye classification controls.

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

28 fundus images with manual vessel segmentations (two annotators).

Composite fundus and OCT dataset with retinal layer, retinal lesion, and macular/glaucomatous disorder markings.

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.

Professional/extended CORN database with in-vivo confocal microscopy images of the corneal subbasal nerve plexus. Supports nerve fiber segmentation, image quality enhancement, and tortuosity grading (

Combined corneal confocal microscopy collection comprising CORN-1, CORN-2, CORN-3, CORN-1500, CORN-Pro, and CORN-Complex. The subsets support corneal-nerve and cell segmentation, image enhancement, to

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

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

Fifty color fundus images with expert markings of diabetic retinopathy lesions, blood vessels, optic disc, and macula.

110 color fundus images with optic-disc contour annotations by two experts. Foundational OD-segmentation dataset.

101 fundus images annotated for optic disc and cup segmentation by 4 clinicians. Train/test: 50/51.

Forty color fundus photographs from a diabetic retinopathy screening program, divided into 20 training and 20 test images, with vessel reference annotations and field of view masks.

Twenty OCT volumes with 220 selected B-scans from eyes with non-neovascular AMD, drusen, and geographic atrophy, including manual and automated pathology markings.

110 OCT B-scans from 10 DME subjects with 8 layer boundaries and fluid region annotations by 2 clinicians.

OCT data from 384 subjects, including 269 with AMD and 115 normal subjects, with 38,400 B-scans and derived total retina and RPE-drusen complex thickness measurements.

463 color fundus images with pixel-level segmentation: 82 with exudate (EX) + 381 with microaneurysm (MA) annotations. Standard DR lesion-segmentation benchmark.

Pediatric external-eye photographs with gaze-view annotations, corneal masks, eyelid/eyelash-line keypoints, and clinical tabular parameters for astigmatism-related research.

Five hundred forty-seven smartphone eye photographs with conjunctiva masks annotated independently by two annotators.

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

SD-OCT B-scans with bounding-box and polygon annotations for paracentral acute middle maculopathy lesions.

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

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

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

300 paired fundus + 3D OCT volumes. Glaucoma grading into Normal / Early / Advanced plus OD/OC segmentation and fovea location.

300 circumpapillary OCT images. RNFL/GCIPL/choroid layer segmentation plus binary glaucoma classification.

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

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

A collection of 169 fundus photographs with expert exudate and bright lesion annotations, clinical metadata, optic nerve locations, vessel estimates, and image quality scores.

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

45 high-resolution fundus images (healthy/DR/glaucoma) with manual vessel segmentation.

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

OCT challenge datasets from HDMILab covering retinal layer segmentation and fluid detection tasks from MICCAI/OMIA workshops. Includes sub-challenges such as AMD/CSC/DR classification and retinal laye

516 fundus images with DR grade (0-4), macular edema grade (0-2), and pixel-level lesion segmentation for 81 images.

Two COCO-format instance-segmentation datasets derived from cataract surgery videos, covering instruments and anatomical structures.

OCT images for intraretinal cystoid-fluid segmentation, partly derived from public OCT DME sources with expert-selected masks.

Multi-modal retinal vessel segmentation dataset spanning fluorescence angiography, fundus autofluorescence, and infrared imaging.

Small corneal confocal fluorescence imaging dataset for keratoconus epithelium analysis.

11,760 fundus images with glaucoma classification labels and ophthalmologist-derived attention maps. Largest public glaucoma dataset with attention ground truth.

Processed Cataract-1K surgical-frame dataset for segmentation/object-detection workflows.

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

One thousand infrared meibography images with meibomian-gland masks, eyelid masks, and six rounds of expert meiboscore grading.

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.

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.

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

A collection of 640 retinal OCT images with expert choroidal region annotations for choroid segmentation.

35 Spectralis OCT volumes (1,715 B-scans) with 9 manually delineated retinal layer boundaries. 14 healthy controls, 21 MS subjects.

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

500 subjects with OCTA volumes, vessel segmentation, FAZ (foveal avascular zone) annotations, and layer segmentation. Largest public OCTA dataset.

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

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

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

High-resolution swept-source OCT images and mechanical-model data for outer retinal corrugations in rhegmatogenous retinal detachment.

1200 fundus images for pathologic myopia classification and optic disc / lesion segmentation. 50 % PM / 50 % non-PM.

488 fundus images from 244 patients (both eyes). Expert OD/OC segmentation, glaucoma stage, IOP, and clinical metadata.

15 ultra-widefield (Optos) fundus images with pixel-level vessel segmentation ground truth.

42 infrared reflectance fundus images with separate artery and vein segmentation masks. 23 train / 19 test.

1200 fundus images: 400 train, 400 val, 400 test. Labels: glaucoma/non-glaucoma + optic disc/cup segmentation.

1200 fundus images from REFUGE1 with optic disc/cup segmentation masks annotated by multiple expert raters.

2000 fundus images for glaucoma classification, optic disc/cup segmentation, and fovea localisation. Extends REFUGE1.

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

112 OCT volumes from three vendors (Cirrus / Spectralis / Topcon) with pixel-level segmentation of intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelium detachment (PED).

750 fundus images with optic disc and optic cup segmentations from 6 ophthalmologists per image. Multi-rater benchmark.

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

40 fundus images (derived from DRIVE) with artery/vein annotations and vessel-tree structural labels.

100 fundus images with microaneurysm annotations from the Retinopathy Online Challenge.

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

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.

~2,617 annotated slit-lamp frames covering anterior-segment anatomy + multi-lesion detection (cataract, corneal disease, conjunctivitis).

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

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

20 fundus images with manual vessel segmentation (two annotators).

Restricted corneal confocal microscopy image set with pixel-level corneal-nerve masks annotated for high-precision segmentation.

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

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

Retinopathy-of-prematurity fundus-image dataset and synthetic-image resources for privacy-preserving AI training.

Head-mounted eye images with pupil, iris, eyelid, eyeball, gaze, landmark, segmentation, and eye-movement annotations.

10 Heidelberg Spectralis SD-OCT volumes (510 B-scans, 496×644×51 voxels) from healthy subjects with 8 retinal layer boundary annotations by 2 independent observers. MATLAB .mat format; used as the OCT

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

Portable fundus images and segmentations for retinal microvascular network analysis.

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

600 Spectralis OCT B-scans from 24 exudative AMD subjects. Three fluid region classes: IRF, SRF, PED. Dual expert annotation.

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