This repository documents my project as a Red Hat intern (summer 2022). This projects aims to demonstrate the app development capabilities using RHODS (Red Hat Openshift Data Science) by leveraging MONAI (Medical Open Network for AI).
In this repository you can find:
| File/Folder | Description | |
|---|---|---|
| 1 | streamlit_app | Contains application source code and related files |
| 2 | tutorial | Contains instructions to deploy the app |
| 3 | Dockerfile | Text file used to configure the docker image |
You may find the following resources helpful for this project:
| Resource | Link | |
|---|---|---|
| 1 | MONAI Documentation | Click Here |
| 2 | Streamlit Documentation | Click Here |
| 3 | Using RHODS with GPUs Tutorial | Click Here |
| 4 | RHODS Streamlit Add-on | Click Here |
| 5 | MedMNIST Documentation | Click Here |
In order to test the functionality of the application you will need to have access to medical images. Sample images from the MedMNIST dataset can be found here.
Follow this tutorial to test the application.
The HIPAA Privacy Rule protects all individually identifiable health information held or transmitted by a covered entity or its business associate, in any form or media, whether electronic, paper, or oral.
Please consider sharing your feedback via this form. All suggestions are welcome and appreciated!