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 :
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