Deep learning in chest radiography: Detection of findings and presence of change.

Deep learning in chest radiography: Detection of findings and presence of change.

BACKGROUND:Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest radiographs, DL algorithms have found success in the evaluation of abnormalities such as lung nodules, pulmonary tuberculosis, cystic fibrosi...

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Bibliographic Details
Main Authors: Ramandeep Singh, Mannudeep K Kalra, Chayanin Nitiwarangkul, John A Patti, Fatemeh Homayounieh, Atul Padole, Pooja Rao, Preetham Putha, Victorine V Muse, Amita Sharma, Subba R Digumarthy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6171827?pdf=render

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http://europepmc.org/articles/PMC6171827?pdf=render

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