CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10950 > Article
Presentation + Paper
13 March 2019 Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports
Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao
Author Affiliations +
Proceedings Volume 10950, Medical Imaging 2019: Computer-Aided Diagnosis; 109500V (2019) https://doi.org/10.1117/12.2512886
Event: SPIE Medical Imaging, 2019, San Diego, California, United States
Google Scholar citations
Check Google Scholar for citing papers
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES + PRESENTATION
DOWNLOAD PAPER SAVE TO MY LIBRARY
WATCH
PRESENTATION
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computed tomography
Kidney
Lung
Performance modeling
Machine learning
Statistical modeling
Medicine
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top