Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach-Reference-Cited by-同舟云学术

Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach

Published:2019-12-03 Issue:11 Volume:34 Page:4924-4931
ISSN:0930-2794
Container-title:Surgical Endoscopy
language:en
Short-container-title:Surg Endosc

Author:

Kitaguchi Daichi,Takeshita Nobuyoshi,Matsuzaki Hiroki,Takano Hiroaki,Owada Yohei,Enomoto Tsuyoshi,Oda Tatsuya,Miura Hirohisa,Yamanashi Takahiro,Watanabe Masahiko,Sato Daisuke,Sugomori Yusuke,Hara Seigo,Ito Masaaki

Funder

Japan Agency for Medical Research and Development

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Link

http://link.springer.com/content/pdf/10.1007/s00464-019-07281-0.pdf

Reference28 articles.

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3. Cleary K, Chung HY, Mun SK (2005) OR 2020: the operating room of the future. Laparoendosc Adv Surg Tech 15:495–500

4. Rattner WD, Park A (2003) Advanced devices for the operating room of the future. Semin Laparosc Surg 10:85–88

5. Meeuwsen FC, van Luyn F, Blikkendaal MD, Jansen FW, van den Dobbelsteen JJ (2019) Surgical phase modelling in minimal invasive surgery. Surg Endosc 33:1426–1432

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