NDLI: Unified approach for masses and microcalcifications detection in mammograms

Content Provider	IEEE Xplore Digital Library
Author	Faker, S. Barhoumi, W. Zagrouba, E.
Copyright Year	2004
Description	Author affiliation: Ecole Nationale des Ingenieurs de Tunis, Tunisia (Faker, S.)
Abstract	Mammography is the most effective method for the detection of early breast cancer. However, many studies showed that radiologists, even the experienced ones, couldn't detect all breast cancer that appears on the mammograms. Thus, computer-assisted diagnosis (CAD), based on advanced image processing and pattern recognition techniques, is used to locate and classify possible lesions. In this paper, we present a general approach for the lesions detection in mammograms. This approach performs the detection in the both cases of masses and microcalcifications.
Sponsorship	Syriatel Global Commun. Syrian Comput. Soc. Network HAMSHO Int. Phoenix Consulting DETECON: Detecon & Diebold Consultants Republique Francaise Ambassade de France en Syrie Syrian Airlines STE JUCI
Starting Page	329
Ending Page	330
File Size	211291
Page Count	2
File Format	PDF
ISBN	0780384822
DOI	10.1109/ICTTA.2004.1307761
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-23
Publisher Place	Syria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image segmentation Medical treatment Muscles Cancer detection Breast cancer Mammography Computer aided diagnosis Lesions Pixel
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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