Statistical Measures Performance for Preprocessing and Locate ROI Using Segmentation in Mammograms
Breast cancer is a cancer that develops from breast tissue and it is considered one of the deadly diseases for women. X-ray mammography is the most successful method for the early phase detection of breast diseases. Micro-calcifications in mammogram have been targeted as earliest symptom of breast cancer and their detection is very important to improve its prediction. For micro calcifications, the interpretation of their presence is very tricky because they are very small, typically in the range of 0.1 mm- 1.0 mm and average is about 0.3 mm. Micro-calcification is a tiny bit, which may not be clearly visible because of low contrast in the mammogram image. To and locate the region of interest using segmentation technique. This paper presents statistical measures of different preprocessing to lighten the low contrast images and selecting filter for accurate detection of microcalicifications with proper segmentation technique.
Neha N. Ganvir
Department of Electronics Engineering, Sinhgad Institute of Technology and Science (SITS), Narhe, Sinhgad Technical Education Society (STES), Pune, India.
Dr. D. M. Yadav
Pune University, India.
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