Computer aided detection of suspicious masses and micro-calcifications
Hanmandlu, Madasu , Vineel, D. , Madasu, Vamsi K., & Vasikarla, S. (2008) Computer aided detection of suspicious masses and micro-calcifications. In Latifi, Shahram (Ed.) Fifth International Conference on Information Technology: New Generations, April 7-9, 2008, Las Vegas, USA.
Mammography is considered as the most effective means for breast cancer diagnosis. This paper introduces two separate techniques for mass and micro-calcification segmentation in digital mammograms. Segmentation of masses consists of three steps- background subtraction, fuzzy texture representation and entropic theresholding. Similarly micro-calcifications are also segmented in three stages – background subtraction, Laplacian of Gaussian filtering and contrast estimation followed by thresholding. Both the techniques are verified with the markings given by the radiologist and are found to be quite effective tools in diagnosing breast cancer.
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|Item Type:||Conference Paper|
|Keywords:||Breast cancer, fuzzy texture, entropy, fuzzy segmentation, Entropic thresholding, microcalcification, Laplacian of Gaussian filter|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2008 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||19 Aug 2008|
|Last Modified:||11 Aug 2011 04:06|
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