MaSpineCanalSeg

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

MA/BA: Automatic segmentation of the Spinal Cord and Multiple-Sclerosis lesions in MRI scans

Advisor: Prof. Bjoern Menze

Supervised by: Malek El Husseini

Description

A bachelor / Master student in Informatics/ BMC or similar is needed for a computer vision project on a large-scale MRI study to quantify Multiple sclerosis lesions. Multiple Sclerosis (MS) is an auto-immune disease that affects the central nervous system and have a variety of potential consequences, including but not limited to, the loss of vision, tremor and limb weakness. During the progression of the disease, the spinal cord is often affected by atrophies and lesions. The segmentation of the spinal cord and lesions provide physicians with a measure of damage on which diagnosis, prognosis and the longitudinal monitoring of the patient are based.

Requirements

  • Practical experience with deep learning
  • Knowledge in pytorch

What's in it for you?

  • The chance to be at the cutting edge of research in applied deep learning.
  • The chance publish in a prestigious medical journal.

Contact

Malek El Husseini


ProjectForm
Title: Automatic segmentation of the Spinal Cord and Multiple-Sclerosis lesions in MRI scans
Abstract:  
Student:  
Director: Malek El Husseini
Supervisor: Prof. Bjoern Menze
Type: DA/MA/BA
Area: Segmentation, Machine Learning, Medical Imaging, Computer Vision
Status: running
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.6 - 08 Oct 2020 - 14:29 - MalekElHusseini