34 docs tagged with "multimodal"

De-identified fluorescein and indocyanine-green angiography images paired with structured lesion descriptions and reports.

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

Synthetic surgical-analysis instruction/chain-of-thought dataset derived from Cataract-1K frames.

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

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

Fifty OCT and fundus images with healthy/glaucomatous labels and cup-to-disc ratio annotations by ophthalmologists.

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.

5,381 B-scan ocular ultrasound video clips with retinal-detachment presence and macula-on/off status labels. Total runtime approximately 5 hours 10 minutes. Only public ocular ultrasound video benchma

~102K VQA pairs derived from 58,485 images across 8 ophthalmic modalities (fluorescein angiography, ICGA, OCT, CFP, ultrasound biomicroscopy, slit-lamp, fundus auto-fluorescence, CT) covering 100+ dis

Ophthalmic clinical text + NPZ records covering glaucoma, cataract, and neuro-ophthalmology with paired age, sex, race/ethnicity, and language attributes. Derived from the same Harvard clinical popula

Fundus fluorescein angiography images paired with Chinese and translated English reports for report-generation research.

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

Fundus photography, multispectral and functional retinal imaging, retinal blood-flow and pupillary-light videos, retina-characteristic labels, quality labels, demographics, and psychological assessmen

Fundus/UWF image-report dataset derived from DeepDRiD and OUWFD-style resources for report-generation research.

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

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

30,000 subjects (10K each AMD, DR, glaucoma) with paired SLO fundus and OCT B-scans, demographic attributes (race, ethnicity, gender, language), for fairness analysis.

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

Image and symptom dataset for normal, uveitis, conjunctivitis, cataract, and eyelid-drooping classification, with source-reported SMOTE balancing to 649 images per class.

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

Composite multimodal ophthalmology benchmark with multi-granular anatomical, diagnostic, staging, demographic, and text annotations.

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.

Ophthalmology-specific multimodal reasoning dataset built from 45 public datasets. Chain-of-thought reasoning traces for retinal VQA.

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

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.

58,036 fundus + 45,923 OCT images assembled for multi-disease classification (8 classes) with cross-modal distillation. Sourced from multiple public ophthalmic datasets.

Linked color fundus and macular OCT images for diabetic macular edema and diabetic retinopathy classification, with CSV labels and shared patient/eye/image nomenclature.

844,000 simulated patient-physician dialogue rows generated from AREDS clinical visits. Enables ophthalmic dialogue and counseling VLM training.

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

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

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

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

Ophthalmic image-text VQA/reasoning benchmark with retinal modalities and expert-verified question-answer pairs.