BaToolDetection

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

Deep Learning for Tool Detection and Tracking in Microsurgery


ProjectForm
Title: Deep Learning for Tool Detection and Tracking in Microsurgery
Abstract: The aim of this project is the investigation of the state-of-the-art deep learning architectures and frameworks with the purpose of detection and tracking of instruments in retinal microsurgeries. An implementation of a deep learning based instrument detection workflow shall be provided at the end of the project.
Student: Luca Alessandro Dombetzki
Director: Prof. Nassir Navab
Supervisor: Hasan Sarhan, Dr. Mehmet Yigitsoy
Type: Bachelor Thesis
Area: Machine Learning, Medical Imaging, Computer-Aided Surgery
Status: running
Start: 01.04.2018
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 06 Sep 2018 - 09:18 - HasanSarhan