Towards accurate surgical workflow recognition with convolutional networks and transformers-Reference-Cited by-同舟云学术

Towards accurate surgical workflow recognition with convolutional networks and transformers

Published:2021-11-24 Issue: Volume: Page:1-8
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Zhang Bokai¹,Abbing Julian²³,Ghanem Amer¹,Fer Danyal⁴,Barker Jocelyn⁴,Abukhalil Rami⁴,Goel Varun Kejriwal⁴,Milletarì Fausto⁵

Affiliation:

1. C-SATS, Inc., Johnson & Johnson, Seattle, WA, USA

2. Department of Surgery, Meander Medical Centre, Amersfoort, The Netherlands

3. Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands

4. Verb Surgical Inc., Johnson & Johnson, Santa Clara, CA, USA

5. Johnson & Johnson Medical GmbH, Hamburg, Germany

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

Reference36 articles.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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