Document Detail


SVM based system for classification of microcalcifications in digital mammograms.
MedLine Citation:
PMID:  17945853     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper presents a SVM based computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out by using edge detection and morphological operations. Third, features based on shape, texture and statistical properties are extracted from each region. Finally, these features are fed to a SVM based classifier for identifying the clusters as either benign or malignant. The SVM with RBF kernel gave A(z)=0.9803 with 97% accuracy and the SVM with polynomial kernel gave A(z)=0.9541 with 95% accuracy.
Authors:
Sukhwinder Singh; Vinod Kumar; H K Verma; Dilbag Singh
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2006  
Date Detail:
Created Date:  2007-10-23     Completed Date:  2008-04-02     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4747-50     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Breast
Breast Diseases / diagnosis*,  radiography
Breast Neoplasms / diagnosis*,  radiography
Calcinosis / diagnosis*
Computers
Diagnosis, Computer-Assisted / instrumentation*,  methods
Humans
Image Processing, Computer-Assisted / instrumentation*,  methods
Mammography / instrumentation*,  methods
Mass Screening
Models, Statistical
Normal Distribution
ROC Curve
Software

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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