Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs-Reference-Cited by-同舟云学术

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

Published:2019-03-22 Issue:3 Volume:2 Page:e191095
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Hwang Eui Jin¹,Park Sunggyun²,Jin Kwang-Nam³,Kim Jung Im⁴,Choi So Young⁵,Lee Jong Hyuk¹,Goo Jin Mo¹,Aum Jaehong²,Yim Jae-Joon⁶,Cohen Julien G.⁷,Ferretti Gilbert R.⁷,Park Chang Min¹,

Affiliation:

1. Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea

2. Lunit Inc, Seoul, South Korea

3. Department of Radiology, Seoul National University Boramae Medical Center, Seoul, South Korea

4. Department of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea

5. Department of Radiology, Eulji University Medical Center, College of Medicine, Seoul, South Korea

6. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea

7. Pôle Imagerie, Centre Hospitalier Universitaire de Grenoble, La Tronche, France

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/2/3/e191095/17464953/hwang_2019_oi_190065.pdf

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4. Radiologist supply and workload: international comparison.;Nakajima;Radiat Med,2008

5. Computer-aided diagnosis in chest radiography: a survey.;van Ginneken;IEEE Trans Med Imaging,2001

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