Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking
Rieke N, Tombari F, Navab N (2018)
Publication Type: Authored book
Publication year: 2018
Publisher: Elsevier Inc.
ISBN: 9780128134450
DOI: 10.1016/B978-0-12-813445-0.00004-6
Abstract
In recent years, computer vision has become a remarkable tool for various computerassisted medical applications, paving the way towards the use of augmented reality and advanced visualization in the medical domain. In this chapter we outline how computer vision can support the surgeon during an intervention via the example of surgical instrument tracking in retinal microsurgery,which incorporates challenges and.
Involved external institutions
Germany (DE)How to cite
APA:
Rieke, N., Tombari, F., & Navab, N. (2018). Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking. Elsevier Inc..
MLA:
Rieke, Nicola, Federico Tombari, and Nassir Navab. Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking. Elsevier Inc., 2018.
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