Eyenotate App RAP Migration

Description

The Eyenotate App is designed to utilize models developed by the ACE Ophthalmology Team and other teams to segment various retinal layers in OCT volumes. This app provides an interactive interface to quickly visualize segmentation results from different applications and allows users to download individual OCT frames along with their masks.

For more information, visit the Eyenotate App Wiki.

Components

Infra Components

S3 Buckets

• gred-ace-application-eyenotate-staging
• gred-ace-application-eyenotate

S3 Bucket Access

• EKS Service Account -> IRSA IAM Role -> The role has the tag id:app -> IAM Policy ace-eks-app-s3-access

Domains

• http://eyenotate.test.staging.gred.ai/
• http://eyenotate.test.gred.ai/

URL Authentication

Access to the domains is restricted via Okta and is only available to the following groups:

• ace-de
• ace-infra
• ace-ai-ophth

Python Package Dependencies

The app relies on several internal repositories:

GitLab

• momaku-ai==1.4.7: GitLab Package
• momaku-core==1.5.10: GitLab Package

GitHub

• Ophthal-oct-segmentation
• Ophthal-oct-segmentation-utils
• Ophthal-OCT-Dicom