An applicability study of rapid artificial intelligence-assisted compressed sensing (ACS) in anal fistula magnetic resonance imaging-Reference-Cited by-同舟云学术

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An applicability study of rapid artificial intelligence-assisted compressed sensing (ACS) in anal fistula magnetic resonance imaging

Published:2024-01 Issue:1 Volume:10 Page:e22817
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Tang Hao,Peng Chengdong,Zhao Yanjie,Hu Chenglin,Dai Yongming,Lin Chen,Cai Lingli,Wang Qiuxia,Wang Shaofang^ORCID

Funder

Natural Science Foundation of Hubei Province

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference25 articles.

1. MR imaging of perianal fistulas;Jhaveri;Radiol. Clin.,2018

2. Perianal fistula and abscess: an imaging guide for beginners;Ramírez Pedraza;Radiographics,2022

3. Evaluating postoperative anal fistula prognosis by diffusion-weighted MRI;Liu;Eur. J. Radiol.,2020

4. CT and MRI evaluations in crohn's complications: a guide for the radiologist;Minordi;Acad. Radiol.,2022

5. Magnetic resonance imaging template to standardize reporting of anal fistulas;Sudoł-Szopińska;Tech. Coloproctol.,2021

Cited by 1 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. Recent advances in the diagnosis and treatment of complex anal fistula;Annals of Coloproctology;2024-08-31

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