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Integrating ITMT Model into MHub.ai Platform
Key Investigators
- Reza Mojahed-Yazdi (Brigham and Women's Hospital, Boston, MA)
Project Description
The MHub.ai is a platform for deploying deep learning models in medical imaging in a user-friendly and standardized environment. This project focuses on integrating the ITMT model (Automated Deep Learning TM-segmentation to accurately measure temporalis muscle thickness) into the MHub platform.
Objective
The objective of this project is to successfully integrate and test the ITMT model into the MHub platform. Additionally, we aim to get feedback on our integration method to improve its efficiency and effectiveness.
Approach and Plan
- Develop integration scripts to deploy ITMT model with MHub.
- Validate the accuracy of the ITMT model within the MHub environment.
Progress and Next Steps
During the week: The integration script was prepared during the week.
After the project week: Debug the code from the original Repo and finalize the implementation on MHUB.AI
Illustrations
No response