Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/2987
Title: Detection of Tumor in Mammogram
Authors: Sharma, Kanchan
Supervisor: Mittal, Deepti
Keywords: Image Enhancement;GLCM Features;Benign;Malignant
Issue Date: 19-Aug-2014
Abstract: Breast cancer is one of the common cancer today, mostly found in women. It is due to the abnormal growth of the breast cells. Research found in the year 2012 that Belgium had the highest rate of breast cancer and that is followed by Denmark and France. The highest incidence of breast cancer was found in Northern America and Oceania; and the lowest incidence was found in Asia and Africa [1].According to the Times of India ,the incident number of breast cancer rate in India in 2001 and 2016 respectively:89,914:140975[2].To decrease the death rate due to breast cancer, mammography is the process to diagnose and early detection of the breast cancer whereas the mammogram is the X-ray exam to reveal the abnormalities(benign and malignant).In mammogram, there are two plates in which breast is compressed and applying a radiation’s small dose for producing the X-ray image. It is used for screening and diagnosing the breast cancer[3]. In the Mammography based research work, we have used Digital Image Processing with MAT LAB Vversion R2007b. In this proposed work of mammography, We have taken a database image of DDSM/MIAS and apply all the processes to find the Benign and Malignant in the breast. Firstly taken the DDSM/MIAS Breast image, then apply pre-processing and image enhancement technique .After that image segmentation (edge detection )technique is applied with thresholding and in the end GLCM texture features are extracted from the images.
Description: M.E. (Electronic Instrumentation and Control)
URI: http://hdl.handle.net/10266/2987
Appears in Collections:Masters Theses@EIED

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