MaMultiSWA

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

Multimodal Surgical Workflow Analysis

Supervision: Prof. Dr. Nassir Navab, Dr. Seong Tae Kim, Tobias Czempiel

Abstract

Surgical workflow recognition is highly important to implement computer-assisted intervention inside the operating room. Video is a representative source for analyzing the surgery and in robotic-assisted surgery, kinematic information is also a useful source. In this project, we will develop a new multimodal surgical workflow analysis model based on video and kinematic information for online automatic recognition of surgical workflow. The promising results would be submitted to the MICCAI Endoscopic Vision Challenge (MIcro-Surgical Anastomose Workflow recognition on training sessions) [1].

Requirements:

  • Good understanding of statistics and machine learning methods.
  • Very good programming skills in Python & TensorFlow? / PyTorch?

Location:

  • Garching

* If you have interest in this project, please feel free to contact Dr. Seong Tae Kim (seongtae.kim@tum.de)

Reference

[1] https://www.synapse.org/#!Synapse:syn21776936/wiki/


ProjectForm
Title: Multimodal Surgical Workflow Analysis
Abstract: Surgical workflow recognition is highly important to implement computer-assisted intervention inside the operating room. Video is a representative source for analyzing the surgery and in robotic-assisted surgery, kinematic information is also a useful source. In this project, we will develop a new multimodal surgical workflow analysis model based on video and kinematic information for online automatic recognition of surgical workflow. The promising results would be submitted to the MICCAI Endoscopic Vision Challenge (MIcro-Surgical Anastomose Workflow recognition on training sessions).
Student:  
Director: Prof. Dr. Nassir Navab
Supervisor: Dr. Seong Tae Kim, Tobias Czempiel
Type: IDP
Area: Surgical Workflow, Machine Learning, Computer-Aided Surgery, Computer Vision
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 12 May 2020 - 12:35 - SeongTaeKim