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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): | |
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