Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rachel Vining"'
Autor:
Subba R. Digumarthy, Mannudeep K. Kalra, Rachel Vining, Kalpana M. Kanal, Ramandeep Singh, Timothy P. Szczykutowicz, Fatemeh Homayounieh
Publikováno v:
American Journal of Roentgenology. 213:1100-1106
OBJECTIVE. The purpose of this study was to devise a method for classification of individual chest and abdomen-pelvis CT doses for multiregion CT. MATERIALS AND METHODS. A retrospective analysis of volume CT dose index (CTDIvol) and dose-length produ
Publikováno v:
Value-based Radiology ISBN: 9783030315542
Past 5 years have seen burgeoning applications of machine learning (ML) in diverse radiological domains including thoracic radiology, neuroimaging, abdominal imaging, musculoskeletal imaging, and breast imaging. Deep learning technologies have been a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80050bae2d95c3a86aa3e9c75fc15a16
https://doi.org/10.1007/174_2018_193
https://doi.org/10.1007/174_2018_193
Autor:
Alexi Otrakji, Mannudeep K. Kalra, Subba R. Digumarthy, Azadeh Tabari, Sireesha Nandimandalam, Rachel Vining, Jo-Anne O. Shepard
Publikováno v:
Acta Radiologica Open
Background Laterality errors in radiology reports can lead to serious errors in management. Purpose To reduce errors related to side discrepancies in radiology reports from thoracic imaging by 50% over a six-month period with education and voice reco