Actions for Decision trees and integrated features for computer aided mammographic screening [electronic resource].

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Decision trees and integrated features for computer aided mammographic screening [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy. Office of Energy Research, 1997.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
96 pages : digital, PDF file
Additional Creators
Sandia National Laboratories, United States. Department of Energy. Office of Energy Research, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Breast cancer is a serious problem, which in the United States causes 43,000 deaths a year, eventually striking 1 in 9 women. Early detection is the only effective countermeasure, and mass mammography screening is the only reliable means for early detection. Mass screening has many shortcomings which could be addressed by a computer-aided mammographic screening system. Accordingly, we have applied the pattern recognition methods developed in earlier investigations of speculated lesions in mammograms to the detection of microcalcifications and circumscribed masses, generating new, more rigorous and uniform methods for the detection of both those signs. We have also improved the pattern recognition methods themselves, through the development of a new approach to combinations of multiple classifiers.
Report Numbers
E 1.99:sand--97-8233
sand--97-8233
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
02/01/1997.
"sand--97-8233"
"DE97052199"
Woods, K.; Kegelmeyer, W.P. Jr.; Groshong, B.; Allmen, M.
Funding Information
AC04-94AL85000
View MARC record | catkey: 14355170