CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 5674 > Article
Paper
11 March 2005 Detection of mass tumors in mammograms using SVD subspace analysis
Eugene T. Lin, Yuxin Liu, Edward J. Delp III
Author Affiliations +
Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.596943
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In this paper, we propose a new region-based method for detecting mass tumors in digital mammograms. Our method uses principal component analysis (PCA) techniques to reduce the image data into a subspace with significantly reduced dimensionality using an optimal linear transformation. After the transformation, classification in the subspace is performed using a nearest neighbor classifier. We consider the detection of only mass abnormalities in this study. Micro calcifications, spiculated lesions, and other abnormalities are not considered. We implemented our method and achieved a 93% correct detection rate for mass abnormalities in our tests.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Eugene T. Lin, Yuxin Liu, and Edward J. Delp III "Detection of mass tumors in mammograms using SVD subspace analysis", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.596943
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
 12 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mammography
Image segmentation
Tissues
Sensors
Principal component analysis
Image processing
Tumors
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top