Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning–based Detection Algorithm-Reference-Cited by-同舟云学术

Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning–based Detection Algorithm

Published:2020-12-01 Issue:6 Volume:2 Page:e190222
ISSN:2638-6135
Container-title:Radiology: Cardiothoracic Imaging
language:en
Short-container-title:Radiology: Cardiothoracic Imaging

Author:

Nam Ju Gang¹^ORCID,Hwang Eui Jin¹^ORCID,Kim Da Som¹^ORCID,Yoo Seung-Jin¹^ORCID,Choi Hyewon¹^ORCID,Goo Jin Mo¹^ORCID,Park Chang Min¹

Affiliation:

1. From the Department of Radiology, Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea (J.G.N., E.J.H., D.S.K., S.J.Y., H.C., J.M.G., C.M.P.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (J.M.G., C.M.P.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryct.2020190222

Reference22 articles.

1. Missed lung cancer: when, where, and why?

2. Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance

3. Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

4. Screening by Chest Radiograph and Lung Cancer Mortality

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