DocumentCode
3099981
Title
Unified approach for masses and microcalcifications detection in mammograms
Author
Faker, Soufien ; Barhoumi, Walid ; Zagrouba, Ezzeddine
Author_Institution
Ecole Nationale des Ingenieurs de Tunis, Tunisia
fYear
2004
fDate
19-23 April 2004
Firstpage
329
Lastpage
330
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.
Keywords
cancer; mammography; medical image processing; pattern recognition; tumours; breast cancer detection; image processing; lesions detection; mammography; masses; microcalcification; pattern recognition technique; Breast cancer; Cancer detection; Computer aided diagnosis; Histograms; Image segmentation; Lesions; Mammography; Medical treatment; Muscles; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN
0-7803-8482-2
Type
conf
DOI
10.1109/ICTTA.2004.1307761
Filename
1307761
Link To Document