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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Detalles Bibliográficos
Publicado en:PLoS One
Autores principales: 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
Lenguaje:Inglês
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea: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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