DocumentCode
3217826
Title
Detection of malignant tumors in mammograms using SVMs
Author
Jouny, I.
Author_Institution
Electr. & Comput. Eng. Dept., Lafayette Coll., Easton, PA, USA
fYear
2005
fDate
2-3 April 2005
Firstpage
129
Lastpage
130
Abstract
This paper proposes an algorithm for automatic detection of malignant tumors in mammograms using support vector machines (SVM). The proposed algorithm is tested using real digital mammograms of normal, benign, or malignant tissue. The results show the potential of SVMs in handling data of high dimension. The contribution is in the preprocessing involved and in the training mechanism needed.
Keywords
cancer; learning (artificial intelligence); mammography; medical computing; support vector machines; tumours; SVM; automatic tumour detection algorithm; benign tissue; malignant tumor detection; normal tissue; real digital mammogram; support vector machine; Cancer; Malignant tumors; Support vector machines; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2005. Proceedings of the IEEE 31st Annual Northeast
Print_ISBN
0-7803-9105-5
Electronic_ISBN
0-7803-9106-3
Type
conf
DOI
10.1109/NEBC.2005.1431958
Filename
1431958
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