Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies-Reference-Cited by-同舟云学术

Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies

Published:2021-12-24 Issue:1 Volume:86 Page:87-95
ISSN:1346-9843
Container-title:Circulation Journal
language:en
Short-container-title:Circ J

Author:

Katsushika Susumu¹,Kodera Satoshi¹,Nakamoto Mitsuhiko¹,Ninomiya Kota¹,Kakuda Nobutaka¹,Shinohara Hiroki¹,Matsuoka Ryo¹,Ieki Hirotaka¹,Uehara Masae¹,Higashikuni Yasutomi¹,Nakanishi Koki¹,Nakao Tomoko²,Takeda Norifumi¹,Fujiu Katsuhito¹,Daimon Masao¹,Ando Jiro¹,Akazawa Hiroshi¹,Morita Hiroyuki¹,Komuro Issei¹

Affiliation:

1. Department of Cardiovascular Medicine, The University of Tokyo Hospital

2. Department of Clinical Laboratory, The University of Tokyo Hospital

Publisher

Japanese Circulation Society

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

https://www.jstage.jst.go.jp/article/circj/86/1/86_CJ-21-0265/_pdf

Reference27 articles.

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2. 2. Roberts WC, McAllister HA Jr, Ferrans VJ. Sarcoidosis of the heart: A clinicopathologic study of 35 necropsy patients (Group I) and review of 78 previously described necropsy patients (Group II). Am J Med 1977; 63: 86–108.

3. 3. Kandolin R, Lehtonen J, Airaksinen J, Vihinen T, Miettinen H, Ylitalo K, et al. Cardiac sarcoidosis: Epidemiology, characteristics, and outcome over 25 years in a nationwide study. Circulation 2015; 131: 624–632.

4. 4. Birnie DH, Sauer WH, Bogun F, Cooper JM, Culver DA, Duvernoy CS, et al. HRS expert consensus statement on the diagnosis and management of arrhythmias associated with cardiac sarcoidosis. Heart Rhythm 2014; 11: 1304–1323.

5. 5. Terasaki F, Azuma A, Anzai T, Ishizaka N, Ishida Y, Isobe M, et al; on behalf of the Japanese Circulation Society Joint Working Group. JCS 2016 guideline on diagnosis and treatment of cardiac sarcoidosis: Digest version. Circ J 2019; 83: 2329–2388.

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