Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound-Reference-Cited by-同舟云学术

Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound

Published:2023-12-18 Issue: Volume: Page:
ISSN:0254-8860
Container-title:Indian Journal of Gastroenterology
language:en
Short-container-title:Indian J Gastroenterol

Author:

Gupta Pankaj^ORCID,Basu Soumen,Yadav Thakur Deen,Kaman Lileswar,Irrinki Santosh,Singh Harjeet,Prakash Gaurav,Gupta Parikshaa,Nada Ritambhra,Dutta Usha,Sandhu Manavjit Singh,Arora Chetan

Publisher

Springer Science and Business Media LLC

Subject

Gastroenterology

Link

https://link.springer.com/content/pdf/10.1007/s12664-023-01483-0.pdf

Reference21 articles.

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2. Hundal R, Shaffer EA. Gallbladder cancer: epidemiology and outcome. Clin Epidemiol. 2014;6:99–109. https://doi.org/10.2147/CLEP.S37357.

3. Singh VP, Rajesh S, Bihari C, Desai SN, Pargewar SS, Arora A. Xanthogranulomatous cholecystitis: what every radiologist should know. World J Radiol. 2016;8:183–91. https://doi.org/10.4329/wjr.v8.i2.183.

4. Lee ES, Kim JH, Joo I, Lee JY, Han JK, Choi BI. Xanthogranulomatous cholecystitis: diagnostic performance of US, CT, and MRI for differentiation from gallbladder carcinoma. Abdom Imaging. 2015;40:2281–92. https://doi.org/10.1007/s00261-015-0432-x.

5. Ito R, Kobayashi T, Ogasawara G, Kono Y, Mori K, Kawasaki S. A scoring system based on computed tomography for the correct diagnosis of xanthogranulomatous cholecystitis. Acta Radiol Open. 2020;9:2058460120918237. https://doi.org/10.1177/2058460120918237.

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