IEEE - Institute of Electrical and Electronics Engineers, Inc. - Image tracking of laparoscopic instrument using spiking neural networks

2013 13th International Conference on Control, Automaton and Systems (ICCAS 2013)

Author(s): Chun-Ju Chen ; Wayne Shin-Wei Huang ; Kai-Tai Song
Sponsor(s): IEEE Ind. Electron. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2013
Conference Location: Gwangju, South Korea
Conference Date: 20 October 2013
Page(s): 951 - 955
ISBN (CD): 978-89-93215-05-2
ISSN (Paper): 2093-7121
DOI: 10.1109/ICCAS.2013.6704052
Regular:

Minimally Invasive Surgery (MIS) has become more and more popular in recent years. An endoscopic image tracking system will assist surgeons to adjust the field of view autonomously in MIS. In this... View More

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