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Research on automatic diagnosis system of retinopathy of prematurity based on deep learning

Research on automatic screening platform for retinopathy of prematurity based on interpretable multi dimension

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037887
Enrollment
Unknown
Registered
2020-09-03
Start date
2020-12-01
Completion date
Unknown
Last updated
2020-11-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Retinopathy of prematurity

Interventions

Gold Standard:The gold standard diagnosis is defined as the results of ROP screening experts using binocular indirect ophthalmoscopy or RetCam imaging.
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diagnosis&#32
system&#32
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retinopathy&#32
prematurity&#32
based&#32
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deep&#32
learning

Sponsors

Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: The retinal images taken by RetCam from the infants at risk of ROP would be imculded.

Exclusion criteria

Exclusion criteria: The retinal images presenting ocular disease other than ROP.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Receiver operating characteristic ;Area under curve;—

Countries

China

Contacts

Public ContactZhang Mingzhi

Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong

zmz@jsiec.org+86 754-88393560

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026