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 fibros...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Singh, Ramandeep, Kalra, Mannudeep K., Nitiwarangkul, Chayanin, Patti, John A., Homayounieh, Fatemeh, Padole, Atul, Rao, Pooja, Putha, Preetham, Muse, Victorine V., Sharma, Amita, Digumarthy, Subba R.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2018
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6171827/
https://ncbi.nlm.nih.gov/pubmed/30286097
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0204155
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