Strong Diagnostic Performance of Single Energy 256-row Multidetector Computed Tomography with Deep Learning Image Reconstruction in the Assessment of Myocardial Fibrosis-Reference-Cited by-同舟云学术

Strong Diagnostic Performance of Single Energy 256-row Multidetector Computed Tomography with Deep Learning Image Reconstruction in the Assessment of Myocardial Fibrosis

Published:2024-09-15 Issue:18 Volume:63 Page:2499-2507
ISSN:0918-2918
Container-title:Internal Medicine
language:en
Short-container-title:Intern. Med.

Author:

Aoki Shuhei¹,Takaoka Hiroyuki¹,Ota Joji²,Kanaeda Tomonori³,Sakai Takayuki⁴,Matsumoto Koji²,Noguchi Yoshitada¹,Nishikawa Yusei¹,Yashima Satomi¹,Suzuki Katsuya¹,Yoshida Kazuki¹,Kinoshita Makiko¹,Suzuki-Eguchi Noriko¹,Sasaki Haruka¹,Kobayashi Yoshio¹

Affiliation:

1. Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Japan

2. Department of Radiology, Chiba University Hospital, Japan

3. Department of Cardiovascular Medicine, Eastern Chiba Medical Center, Japan

4. Department of Radiology, Eastern Chiba Medical Center, Japan

Publisher

Japanese Society of Internal Medicine

Link

https://www.jstage.jst.go.jp/article/internalmedicine/63/18/63_2615-23/_pdf

Reference28 articles.

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