Risk prediction and analysis of gallbladder polyps with deep neural network-Reference-Cited by-同舟云学术

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Risk prediction and analysis of gallbladder polyps with deep neural network

Published:2024-03-23 Issue:1 Volume:29 Page:
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Yuan Kerong¹,Zhang Xiaofeng²,Yang Qian³,Deng Xuesong¹,Deng Zhe⁴,Liao Xiangyun³,Si Weixin³

Affiliation:

1. Department of Hepatobiliary Surgery, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen, P.R. China

2. School of Mechanical Engineering, Nantong University, Nantong, P.R. China

3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, P.R. China

4. Department of Emergency Medicine, the First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People’s Hospital, Shenzhen, P.R. China

Funder

Shenzhen Science and Technology Program

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24699322.2024.2331774

Reference28 articles.

1. Current practices and future prospects for the management of gallbladder polyps: A topical review

2. Prevalences of and risk factors for biliary stones and gallbladder polyps in a large Chinese population

3. Management and follow-up of gallbladder polyps

4. Triphasic Dynamic Contrast-Enhanced Computed Tomography in the Differentiation of Benign and Malignant Gallbladder Polypoid Lesions

5. SAGES guidelines for the clinical application of laparoscopic biliary tract surgery

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