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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science (PLoS)
2018-01-01
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| Σειρά: | PLoS ONE |
| Διαθέσιμο Online: | http://europepmc.org/articles/PMC6171827?pdf=render |
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