CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume PC12033 > Article
Presentation
4 April 2022 Multiple instance learning for automatic emphysema evaluation on low-dose CT lung cancer screening scans
Jordan D. Fuhrman, Yeqing Zhu, Rowena Yip, Feng Li, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Author Affiliations +
Proceedings Volume PC12033, Medical Imaging 2022: Computer-Aided Diagnosis; PC1203305 (2022) https://doi.org/10.1117/12.2612768
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
Opportunistic disease detection on low-dose CT (LDCT) scans is desirable due to expanded use of LDCT scans for lung cancer screening. In this study, a machine learning paradigm called multiple instance learning (MIL) is investigated for emphysema detection in LDCT scans. The top performing method was able to achieve an area under the ROC curve of 0.93 +/- 0.04 in the task of detecting emphysema in the LDCT scans through a combination of MIL and transfer learning. These results suggest that there is strong potential for the use of MIL in automatic, opportunistic LDCT scan assessment.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Jordan D. Fuhrman, Yeqing Zhu, Rowena Yip, Feng Li, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, and Maryellen L. Giger "Multiple instance learning for automatic emphysema evaluation on low-dose CT lung cancer screening scans", Proc. SPIE PC12033, Medical Imaging 2022: Computer-Aided Diagnosis, PC1203305 (4 April 2022); https://doi.org/10.1117/12.2612768
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
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Emphysema
Lung cancer
Computed tomography
3D modeling
3D imaging standards
3D scanning
Cancer
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top