Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images-Reference-Cited by-同舟云学术

Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images

Author:

Huang Baoru¹^ORCID,Nguyen Anh²^ORCID,Wang Siyao²,Wang Ziyang³,Mayer Erik⁴,Tuch David⁵,Vyas Kunal⁵^ORCID,Giannarou Stamatia¹^ORCID,Elson Daniel S.¹

Affiliation:

1. Hamlyn Centre for Robotic Surgery and the Department of Surgery and Cancer, Imperial College London, London, U.K

2. Hamlyn Centre for Robotic Surgery, Imperial College London, London, U.K

3. Department of Computer Science, University of Oxford, Oxford, U.K

4. Department of Surgery and Cancer, Imperial College London, London, U.K

5. Lightpoint Medical Ltd., Chesham, U.K

Funder

U.K. National Institute for Health Research (NIHR) Invention for Innovation

Cancer Research U.K. Imperial Centre

Royal Society

NIHR Imperial Biomedical Research Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

Reference32 articles.

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5. Dense depth estimation in monocular endoscopy with self-supervised learning methods;liu;Proc TMI,2019

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