Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking

Nicola Rieke; Federico Tombari; Nassir Navab

doi:10.1016/B978-0-12-813445-0.00004-6

Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking

Nicola Rieke, Federico Tombari, Nassir Navab

Informatik 16 - Lehrstuhl für Informatikanwendungen in der Medizin

Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

10 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	Computer Vision For Assistive Healthcare
Herausgeber (Verlag)	Elsevier Inc.
Seiten	105-126
Seitenumfang	22
ISBN (Print)	9780128134450
DOIs	https://doi.org/10.1016/B978-0-12-813445-0.00004-6
Publikationsstatus	Veröffentlicht - 1 Jan. 2018

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10.1016/B978-0-12-813445-0.00004-6

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Computer Vision and Machine Learning for Surgical Instrument Tracking: Focus: Random Forest-Based Microsurgical Tool Tracking

Abstract

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