International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 4 - Issue 9 |
Published: August 2010 |
Authors: Ms.Kavita Raut, Ms.Saylee Gharge, Dr.Tanuja Sarode, Dr. H. B. Kekre |
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Ms.Kavita Raut, Ms.Saylee Gharge, Dr.Tanuja Sarode, Dr. H. B. Kekre . Article:Detection of Cancer Using Vector Quantization for Segmentation. International Journal of Computer Applications. 4, 9 (August 2010), 14-19. DOI=10.5120/856-1199
@article{ 10.5120/856-1199, author = { Ms.Kavita Raut,Ms.Saylee Gharge,Dr.Tanuja Sarode,Dr. H. B. Kekre }, title = { Article:Detection of Cancer Using Vector Quantization for Segmentation }, journal = { International Journal of Computer Applications }, year = { 2010 }, volume = { 4 }, number = { 9 }, pages = { 14-19 }, doi = { 10.5120/856-1199 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2010 %A Ms.Kavita Raut %A Ms.Saylee Gharge %A Dr.Tanuja Sarode %A Dr. H. B. Kekre %T Article:Detection of Cancer Using Vector Quantization for Segmentation%T %J International Journal of Computer Applications %V 4 %N 9 %P 14-19 %R 10.5120/856-1199 %I Foundation of Computer Science (FCS), NY, USA
Breast cancer is one of the major causes of death among women. An improvement of early diagnostic techniques is critical for women’s quality of life. Mammography is the main test used for screening and early diagnosis. Contrast-enhanced magnetic resonance of the breast is the most attractive alternative to standard mammography. This paper presents a vector quantization segmentation method to detect cancerous mass from mammogram images. In order to increase radiologist’s diagnostic performance, several computer-aided diagnosis (CAD) schemes have been developed to improve the detection of primary signatures of this disease: masses and microcalcifications.