Glaucoma, Retina Disease
Conditions
Brief summary
Aiming at the problems of low image reading efficiency, crowded medical resources and fragmented cross-modal information of ophthalmic OCT and OCTA, a multimodal large model diagnostic framework for various diseases such as retinal diseases and optic nerve damage in glaucoma is constructed to fully explore the complementary information of various images such as SS-OCT structural images, SS-OCTA vascular images and optic nerve scans. Extract cross-modal joint features to improve the accuracy of automatic diagnosis.
Interventions
OTHERNot applicable- observational study
There is no special intervention method
Sponsors
Beijing Hospital
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
20 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
* Diagnosed as macular degeneration, diabetic macular edema, retinal vein obstructive macular edema, high myopia, glaucoma or other clearly diagnosed ophthalmic diseases. The SS-OCT/SS-OCTA images of the patient are clear.
Exclusion criteria
* The image quality is poor and difficult to analyze due to reasons such as refractive media opacity and poor coordination.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| CMT | Baseline | Central macular thickness measured on OCT |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| SS-OCT/OCTA images | Baseline | Multimodal features based on patients' iamges |
Outcome results
None listed