Research on retinal / choroidal structure analysis by novel image analysis technique and machine learning.

Research on retinal / choroidal structure analysis by novel image analysis technique and machine learning. - Research on retinal / choroidal structure image analysis

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000031747

Enrollment

1200

Registered

2018-03-15

Start date

2017-12-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Chorioretinal diseases (central serous chorioretinopathy, age-related macular degeneration, diabetic retinopathy, retinal vein occlusion, other diseases that cause abnormalities on macular)

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Cases with chorioretinal disease(central serous chorioretinopathy, age-related macular degeneration, diabetic retinopathy, retinal vein occlusion, other diseases causing abnormality of the macular part) 2. Cases without chororetinal disease

Exclusion criteria

Exclusion criteria: Cases for which consent is not obtained for research

Design outcomes

Primary

Measure	Time frame
Analysis of retina and choroid in normal eyes and disease eyes Analysis of choroidal vasculature by machine learning	—

Secondary

Measure	Time frame
Relationship between choroidal vasculature and disease Relationship between choroidal vasculature and therapeutic effect	—

Countries

Japan

Contacts

Public ContactShozo Sonoda

Kagoshima University Ophthalmology

shou@m3.kufm.kagoshima-u.ac.jp099-275-5402

Outcome results