Feasibility of Deep Learning-Based Analysis of Auscultation for Screening Significant Stenosis of Native Arteriovenous Fistula for Hemodialysis Requiring Angioplasty-Reference-Cited by-同舟云学术

Feasibility of Deep Learning-Based Analysis of Auscultation for Screening Significant Stenosis of Native Arteriovenous Fistula for Hemodialysis Requiring Angioplasty

Published:2022 Issue:10 Volume:23 Page:949
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Park Jae Hyon¹^ORCID,Park Insun²^ORCID,Han Kichang¹^ORCID,Yoon Jongjin¹^ORCID,Sim Yongsik¹^ORCID,Kim Soo Jin³^ORCID,Won Jong Yun¹^ORCID,Lee Shina⁴^ORCID,Kwon Joon Ho¹^ORCID,Moon Sungmo¹^ORCID,Kim Gyoung Min¹^ORCID,Kim Man-deuk¹^ORCID

Affiliation:

1. Department of Radiology, Yonsei University College of Medicine, Seoul, Korea.

2. Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

3. Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.

4. Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2022.0364

Reference26 articles.