15 docs tagged with "multilabel"

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

16,266 color fundus images from 8,524 Brazilian patients with 14 disease labels (DR, AMD, glaucoma, drusen, others), image quality flags, and demographic attributes.

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 cataract surgery videos (>9 hours total) with frame-level annotations of 21 surgical tools. Earlier and larger sibling to Cataract-1K.

15,709 fundus images with paired medical reports and extracted keywords. Only public fundus report-generation dataset — useful for VLM / captioning evaluation.

34,452 fundus images from 4,344 patients across multiple fields per eye, with DR screening labels. Largest public four-field DR dataset.

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

2,208 color fundus images with 20-class multi-label disease annotations.

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

8000 patients (16000 fundus images, left + right eye) with 8 disease labels for multi-label ocular disease classification.

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+

Auxiliary RFMiD 2.0 retinal fundus dataset spanning 51 disease categories.

3200 fundus images annotated for 45 retinal conditions. Used for multi-label disease classification.

13,047 ultra-widefield fundus photographs (Optos, 200° FOV) from Tsukazaki Hospital, annotated with 8 binary disease labels: AO, AMD, DR, Glaucoma, MH, RD, RP, RVO. Associated with Scientific Data 202

A multilabel fundus classification challenge with 3,435 labeled training images and 350 test images covering six disease groups and normal findings.