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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Dades bibliogràfiques
Publicat a:PLoS One
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2018
Matèries:
Research Article
Accés en línia: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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