Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images

Author:

Huang Baoru1ORCID,Nguyen Anh2ORCID,Wang Siyao2,Wang Ziyang3,Mayer Erik4,Tuch David5,Vyas Kunal5ORCID,Giannarou Stamatia1ORCID,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

Reference32 articles.

1. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

2. Automatic differentiation in PyTorch;paszke;Proc NIPS,2017

3. Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

4. Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries

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

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1. Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art;Computers in Biology and Medicine;2024-02

2. Future Perspectives of Deep Learning in Laparoscopic Tool Detection, Classification, and Segmentation: A Systematic Review;2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH);2023-08-28

3. A semantic segmentation method for laparoscopic images using semantically similar groups;Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling;2023-04-03

4. SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos;IEEE Transactions on Medical Robotics and Bionics;2023-02

5. Robotic-Assisted Laparoscopic Adjustment: A Meta-Analysis and Review;IEEE Transactions on Instrumentation and Measurement;2023

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