Computer‐aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks-Reference-Cited by-同舟云学术

Computer‐aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks

Published:2022-02-11 Issue:5 Volume:15 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Wang Chen¹^ORCID,Reynolds Justin C.²,Calle Paul²,Ladymon Avery D.¹,Yan Feng¹,Yan Yuyang¹,Ton Sam¹,Fung Kar‐ming³⁴,Patel Sanjay G.⁵,Yu Zhongxin⁶,Pan Chongle²^ORCID,Tang Qinggong¹

Affiliation:

1. Stephenson School of Biomedical Engineering University of Oklahoma Norman OK USA

2. School of Computer Science University of Oklahoma Norman OK USA

3. Department of Pathology University of Oklahoma Health Sciences Center Oklahoma City OK USA

4. Stephenson Cancer Center University of Oklahoma Health Sciences Center Oklahoma City OK USA

5. Department of Urology University of Oklahoma Health Sciences Center Oklahoma City OK USA

6. Children's Hospital University of Oklahoma Health Sciences Center Oklahoma City OK USA

Funder

National Cancer Institute

National Center for Complementary and Integrative Health

National Institute of General Medical Sciences

Oklahoma Center for the Advancement of Science and Technology

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202100347

Reference51 articles.

1. Laparoscopic Entry: A Review of Techniques, Technologies, and Complications

2. A Prospective Randomized Trial Comparing Open Versus Laparoscopic Appendectomy

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