CLUSTER DIABETIC-RETINOPATHY-WEB · 8 ENTRIES · EARLIEST ENTRY 2026-09-01

Retinal diabetic retinopathy screening

This cluster consists of web apps for analyzing retinal fundus images, primarily to detect diabetic retinopathy, with some offering interpretable recommendations or offline screening for rural settings. The dated history is too thin to read a shape from, as it predates the index or its members are undated. Traction leaders by activity signal are GlucoVision, webapp_Artery_vein_Classification, and Vision_raksha-SIH26-, each with 0 stars.

Entry timeline

ENTRY TIMELINE

AUG 2026: 3SEP 2026: 4OCT 2026: 1
AUG 2026OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 8 unlabelled

Operator · 5 hobby · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 8 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01webapp_Artery_vein_Classification0★2 mo—Web app that classifies retinal blood vessels as arteries or veins and measures tortuosity from fundus images.
  2. 02retinaDR0★5 days—hobbyWeb app that screens diabetic retinopathy from retinal images, manages patient records, and generates printable PDF reports.
  3. 03GlucoVision0★1 molivehobbyWeb app that detects diabetic retinopathy from eye photos, explains its reasoning, and supports offline screening in rural clinics.
  4. 04retina-screen-ai0★28 dayslivehobbyAI app that screens diabetic retinopathy from retinal images, explains predictions, and supports multiple languages for rural healthcare.
  5. 05Vision_raksha-SIH26-0★24 dayslivehobbyWeb app that screens retinal images for diabetic retinopathy and provides interpretable screening recommendations for rural health workers.
  6. 06Diabetic-Retinopathy-Project0★1 mo—Web app that detects diabetic retinopathy and related eye conditions from retinal images.
  7. 07VisionNexa0★1 molivehobbyAI web app that screens for diabetic retinopathy from eye fundus images and highlights affected regions for healthcare workers in low-resource settings.
  8. 08retinal-fundus-diabetic-detector-go-gin-v2026-b590★1 mo—Medical imaging system that detects diabetic retinopathy from retinal fundus images for ophthalmology use.