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Classification and lesion segmentation of keratitis based on artificial intelligence

Classification and lesion segmentation of keratitis based on artificial intelligence

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400086787
Enrollment
Unknown
Registered
2024-07-10
Start date
2024-07-15
Completion date
Unknown
Last updated
2024-07-15

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

Conditions

Corneal Disease

Interventions

Observation Group:None

Sponsors

Eye Hospital of Wenzhou Medical University (Hangzhou)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
8 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1) Consecutive patients who were diagnosed with keratitis at our hospital between January 2018 and November 2023 and had slit lamp images (JPG format) taken. (2) Patients who had consecutive visits to the corneal disease department after November 2023 and had anterior segment photographs of the cornea taken.

Exclusion criteria

Exclusion criteria: (1) Slit lamp pixels below (2584 × 2000 pixels)/Poor photo quality. (2) Presence of corneal scarring, post corneal transplantation.

Design outcomes

Primary

MeasureTime frame
Slit-lamp anterior section photograph;

Secondary

MeasureTime frame
Corneal confocal microscope;

Countries

China

Contacts

Public ContactLi Fenfen

Eye Hospital of Wenzhou Medical University, Zhejiang Provincial Eye Hospital

lifenfen_wzmu@163.com+86 151 6779 9221

Outcome results

None listed

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