Title of article :
Improved Auto Detection of Calcification in Digital Mammogram Relying on Multi-Stage CAD Technique
Author/Authors :
aboshosha, a. m. atomic energy authority - national research and technology center, Egypt , ragaa, m. al-azhar university - faculty of engineering - department of communications, Egypt , mashad, b. a. al-azhar university - faculty of engineering - department of communications, Egypt
From page :
171
To page :
184
Abstract :
This article presents multi-stage Computer Aided Design (CAD) processing to satisfy early detection of breast cancer. The most important feature within the breast region is the breast contour. Extraction of the breast region and delineation of the breast contour is an essential step in CAD. Primarily it allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. A precise segmentation technique has been applied to suppress artifacts and accentuate the breast region, followed by a detection algorithm to classify the breast tissue region. To demonstrate the capability of the presented multi-stage CAD system it is extensively tested on mammograms from the Digital Database for Screening Mammography “DDSM” of the University of South Florida.
Journal title :
Journal of King Abdulaziz University : Engineering Sciences
Journal title :
Journal of King Abdulaziz University : Engineering Sciences
Record number :
2573169
Link To Document :
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