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» Pre-processing Algorithms on Digital Mammograms
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TMI
1998
140views more  TMI 1998»
13 years 4 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
MVA
2007
155views Computer Vision» more  MVA 2007»
13 years 6 months ago
Pre-processing Algorithms on Digital Mammograms
Mammography is the best method for early mass detection. In order to limit the search for abnormalities by Computer Aided Diagnosis systems to the region of the breast without und...
Hengameh Mirzaalian, Mohammad Reza Ahmadzadeh, Sae...
ISBI
2002
IEEE
14 years 5 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ESANN
2000
13 years 5 months ago
Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
In this paper we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm co...
Armando Bazzani, Alessandro Bevilacqua, Dante Boll...