Creator: Changsha Langhui Information Technology Co., Ltd.
Keywords: ,,ICDR,AI,,,Langhui

Dataset Overview

Definition：Fundus Color Photographs and Diagnostic Reports Datasetis provided byChangsha Langhui Information Technology Co., Ltd.Integrated high-quality eye data. Covers high-resolution eye-to-eye colour and structured diagnostic reports, diabetes membrane fractionality based on ICDR international standards, applicable to eye-based AI screening and remote diagnostic system training.

Dataset Name	Fundus Color Photographs and Diagnostic Reports Dataset
Total Data Volume	A lot of high-quality coloured photos.
Data Type	Eye-colored image + text diagnostic report
Data Source	Resale
License Type	Sublicensing Complete authorization documents are attached
Classification criteria	ICDR International Standard Diabetes Retinal Disorder Period
Covered Disease Categories	Diabetes retinal variability (DR), glaucoma, age-related yellow-blanc variability (AMD), normal eye base

Core Data Fields

Each piece of data contains complete structured fields that cover everything from raw data to specialized diagnostics.

Field Category	Field Count	Typical Fields
	8	Eye-to-eye images (back pole/vision disk at centre), eye-to-eye (left/right), type of field of view, image resolution, collection equipment
DR Level	6	ICDR phased (0-4, level), DR available, yellow swollen oedema, microacoustic number, haemorrhage/ seepage description
Glaucoma assessment	5	Cup comparison (C/Drateo), disc pattern, RNFL missing, eye pressure associated (if any)
Patient Information	4	Age, sex, diabetes, date of examination (de-identification)
	3	Image quality rating, classability, pseudo-image description

Data Sample Showcase

The following is a de-identified structured JSON sample illustrating the typical data format.

{
  "study_id": "FUND-2023-0001234",
  "meta": {"age_group": "45-55","gender": "male","eye": "sample value","dm_duration_years": 3},
  "findings": {"dr_icdr": 0,"me_present": false,"cd_ratio": 0.4,"amd": false},
  "diagnosis": {"primary": "sample value","abnormal": false}
}

AI Application Scenarios

Diabetes retinal pathogen screening AI

The DR automatic detection and classification based on the ICDR International Standard staged colour-sight training model.

Early detection of glaucoma

A glaucoma-based test model for the comparison of cups and RNFL features.

Tele-eye treatment AI

Large-scale eye-to-eye data support the remote eye AI engine.

Visual image quality assessment

Training Quality Assessment Model, supporting quality control for remote screening.

Multiple joint eye-dermal tests

Multiple joint disease detection models such as DR+CG+AMD.

Auxiliary education in ophthalmology

Eye-to-eye colours are used in the AIS teaching system.

Frequently asked questions

What criteria are used for classification?

Diabetes retinal changes are phased in using ICDR (level 0-4) and Glaucoma and AMD are used in the International Standard for Diagnosis.

What's the quality of the images?

High-smuggling coloured eye-floor photographs taken by professional eye-to-eye cameras, accompanied by image quality ratings, can be used for quality-level training.

Are the data related to copyright?

Full delegation of authority attached, with delegation of authority covering commercial AI training.

How to Get a Data Sample?

Please contactChangsha Langhui Information Technology Co., Ltd. DataAssetsAPI platform.

Need for customised medical data programs?

Changsha Langhui Information Technology Co., Ltd. The DataAssetsAPI platform is dedicated to providing high-quality, compliant medical data assets for AI companies and scientific research institutions. Cooperate with 50 + hospitals, including Fudan 100 type hospitals.

Data Sample Preview · Customized Data Solutions · Professional Technical Support

Data Sample Preview Customized Discipline-Specific Solutions Professional Technical Support

Eyeshots and diagnostic reports