Objectives:
- To develop the world’s first public gonioscopy image database
- To train convolutional neural networks to identify and label the trabecular meshwork in real-time
IRB #: UCI HS2019-5447
Access our database here.
Access our Gonio Challenge survey here.
Contribute to our database by filling out the contact form and attach the image (of note, we are looking for open-angle gonioscopic photos). We appreciate your help and contribution!