Automatic bleeding detection in laparoscopic surgery based on a faster region-based convolutional neural network-Reference-Cited by-同舟云学术

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Automatic bleeding detection in laparoscopic surgery based on a faster region-based convolutional neural network

Published:2022-05 Issue:10 Volume:10 Page:546-546
ISSN:2305-5839
Container-title:Annals of Translational Medicine
language:
Short-container-title:Ann Transl Med

Author:

Hua Surong,Gao Junyi,Wang Zhihong,Yeerkenbieke Palashate,Li Jiayi,Wang Jing,He Guanglin,Jiang Jigang,Lu Yao,Yu Qianlan,Han Xianlin,Liao Quan,Wu Wenming

Publisher

AME Publishing Company

Subject

General Medicine

Link

https://atm.amegroups.com/article/download/95011/pdf

Cited by 5 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. Artificial intelligence for improving intraoperative surgical care;Global Surgical Education - Journal of the Association for Surgical Education;2024-06-20

2. Application and evaluation of surgical tool and tool tip recognition based on Convolutional Neural Network in multiple endoscopic surgical scenarios;Surgical Endoscopy;2023-08-14

3. A Multi-Task Convolutional Neural Network for Semantic Segmentation and Event Detection in Laparoscopic Surgery;Journal of Personalized Medicine;2023-02-25

4. Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis;Journal of Clinical Medicine;2023-02-20

5. Amplifying action-context greater: image segmentation-guided intraoperative active bleeding detection;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2022-12-22

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