Automated Detection of Enlarged Extraocular Muscle in Graves Ophthalmopathy with Computed Tomography and Deep Neural Network

Automated Detection of Enlarged Extraocular Muscle in Graves Ophthalmopathy with Computed Tomography and Deep Neural Network - Automated Detection of Enlarged Extraocular Muscle

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000044633

Enrollment

200

Registered

2021-06-23

Start date

2017-02-01

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

Graves Ophthalmopathy

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Graves Ophthalmopathy normal subject

Exclusion criteria

Exclusion criteria: Other ophthalmology diseases

Design outcomes

Primary

Measure	Time frame
the area under the curve, sensitivity, specificity.	—

Countries

Japan

Contacts

Public ContactDaisuke Nagasato

Tsukazaki Hospital Ophthalmology

d.nagasato@tsukazaki-eye.net0792728555

Outcome results