NDLI: A logic filter for tumor detection on mammograms

Content Provider	Springer Nature Link
Author	Rocha, Alberto Tong, Fu Yan, Zhuangzhi
Copyright Year	2000
Abstract	This paper presents a novel approach for detection of suspicious regions in digitized mammograms. The edges of the suspicious region in mammogram are enhanced using an improved logic filter. The result of further image processing gives a gray-level histogram with distinguished characteristics, which facilitates the segmentation of the suspicious masses. The experiment results based on 25 digital sample mammograms, which are definitely diagnosed, are analyzed and evaluated briefly.
Starting Page	629
Ending Page	632
Page Count	4
File Format	PDF
ISSN	10009000
Journal	Journal of Computer Science and Technology
Volume Number	15
Issue Number	6
e-ISSN	18604749
Language	English
Publisher	Science Press
Publisher Date	2000-01-01
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	logic filter mammogram diagnosis image processing for mammograms Computer Science Software Engineering Theory of Computation Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Information Systems Applications (incl.Internet)
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture

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A logic filter for tumor detection on mammograms