Development and validation of a deep‐learning based assistance system for enhancing laparoscopic control level-Reference-Cited by-同舟云学术

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Development and validation of a deep‐learning based assistance system for enhancing laparoscopic control level

Published:2022-08-12 Issue:1 Volume:19 Page:
ISSN:1478-5951
Container-title:The International Journal of Medical Robotics and Computer Assisted Surgery
language:en
Short-container-title:Robotics Computer Surgery

Author:

Zheng Qingyuan¹^ORCID,Yang Rui¹,Yang Song¹,Ni Xinmiao¹,Li Yanze¹,Jiang Zhengyu¹,Wang Xinyu²,Wang Lei¹,Chen Zhiyuan¹,Liu Xiuheng¹^ORCID

Affiliation:

1. Department of Urology Renmin Hospital of Wuhan University Wuhan Hubei China

2. Centre for Reproductive Science Renmin Hospital of Wuhan University Wuhan Hubei China

Publisher

Wiley

Subject

Computer Science Applications,Biophysics,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rcs.2449

Reference24 articles.

1. Virtual reality training in laparoscopic surgery: A systematic review & meta-analysis

2. Vision-based and marker-less surgical tool detection and tracking: a review of the literature

3. The PAKY, HERMES, AESOP, ZEUS, and da Vinci robotic systems

Cited by 2 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

1. Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions;Sensors;2023-11-21

2. Development and validation of a deep learning-based laparoscopic system for improving video quality;International Journal of Computer Assisted Radiology and Surgery;2022-10-15

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