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

IMPORTANCE: Interpretation of chest radiographs is a challenging task prone to errors, requiring expert readers. An automated system that can accurately classify chest radiographs may help streamline the clinical workflow. OBJECTIVES: To develop a deep learning–based algorithm that can classify norm...

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Foilsithe in:JAMA Netw Open
Main Authors: Hwang, Eui Jin, Park, Sunggyun, Jin, Kwang-Nam, Kim, Jung Im, Choi, So Young, Lee, Jong Hyuk, Goo, Jin Mo, Aum, Jaehong, Yim, Jae-Joon, Cohen, Julien G., Ferretti, Gilbert R., Park, Chang Min
Formáid: Artigo
Teanga:Inglês
Foilsithe: American Medical Association 2019
Ábhair:
Original Investigation
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6583308/
https://ncbi.nlm.nih.gov/pubmed/30901052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.1095
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