Brainchop in Brainforge using Meshnet - neuroneural/BrainStorms GitHub Wiki

Proposal Abstract

MeshNet is an efficient neural network architecture for image segmentation, which can provide results comparable to freesurfer output in a fraction of the time. This project involves integrating an end-to-end computation for MeshNet segmentation in docker, and integrating this computation into the BrainForge backend and frontend.

About the Project

Umbrella Project

  • BrainForge

Emphasis:

  • Engineering

Expected Background

  • Undergraduate friendly. Familiarity with python is recommended.

Primary Point of Contact

Supervisor

References and External Resources

  • brainforge.rs.gsu.edu

Estimated Timelines

  • 2-3 months (summer project)

Possible Deliverables

  • Singularity container which wraps MeshNet
  • Demonstration of the container on a small study + comparison with freesurfer
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