Breast Cancer Detection In Mammogram Images Using Region-Growing And Contour-Based Segmentation Techniques

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends (IJCOT)          
 
© 2013 by IJCOT Journal
Volume-3 Issue-4                           
Year of Publication : 2013
Authors : D. Sujitha Priya , Dr. B. Sarojini

MLA

D. Sujitha Priya , Dr. B. Sarojini . "Breast Cancer Detection In Mammogram Images Using Region-Growing And Contour-Based Segmentation Techniques" . International Journal of Computer & organization Trends (IJCOT), V3(4):55-58 Jul - Aug 2013, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract—An increase in the use of computers to improve human-to-human and human-to-computer interaction has necessitated automated methods that extract information on human behavior in an efficient manner. Technology has highly involved in medical science and the serious problem in the medical field is that the death rate is highly increased due to cancer. The main focus is to detect breast cancer related information from the x-ray images. The system can be used to study about the detection process and segmentation process. Mammogram images are used for detecting cancer, since the images occupy very low levels of radiation. Test images are subjected to a Region-growing segmentation and contour based segmentation algorithms and results are compared. The tumor cells are further enhanced with watershed segmentation and the morphological operations are applied to enhance the images.

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Keywords— Breast Cancer, Mammogram Images, Region-growing Segmentation, Contour- Based Segmentation, Watershed Segmentation.