MaRobustnessInMed

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

THIS WEBPAGE IS DEPRECATED - please visit our new website

Master thesis: Towards More Robust Machine Learning Models

In collaboration with Zeiss Thesis by: Mariem Kthiri
Advisor: Azade Farshad, Dr. Alexander Urich
Supervision by: Prof. Dr. Nassir Navab
Due date:

Abstract

The goal of this master thesis is to explore out of distribution detection methods and improve models robustness to such perturbations in the data. We explore this problem in fundus images.

Resources

Literature


Students.ProjectForm
Title: Towards More Robust Machine Learning Models
Abstract:  
Student: Mariem Kthiri
Director: Prof. Dr. Nassir Navab
Supervisor: Azade Farshad, Dr. Alexander Urich
Type: Master Thesis
Area: Machine Learning, Medical Imaging, Computer Vision
Status: finished
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 21 Oct 2020 - 11:38 - AzadeFarshad