MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN
Breast cancer is a primary cause of mortality and morbidity in women. Reports reveal that earlier the detection of abnormalities, better the improvement in survival. Digital mammograms are one of the most effective means for detecting possible breast anomalies at early stages. Digital mammograms sup...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ICT Academy of Tamil Nadu
2011-02-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/IJIVP_7_172_177.pdf |
| _version_ | 1828403370961928192 |
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| author | B.N. Prathibha V. Sadasivam |
| author_facet | B.N. Prathibha V. Sadasivam |
| author_sort | B.N. Prathibha |
| collection | DOAJ |
| description | Breast cancer is a primary cause of mortality and morbidity in women. Reports reveal that earlier the detection of abnormalities, better the improvement in survival. Digital mammograms are one of the most effective means for detecting possible breast anomalies at early stages. Digital mammograms supported with Computer Aided Diagnostic (CAD) systems help the radiologists in taking reliable decisions. The proposed CAD system extracts wavelet features and spectral features for the better classification of mammograms. The Support Vector Machines classifier is used to analyze 206 mammogram images from Mias database pertaining to the severity of abnormality, i.e., benign and malign. The proposed system gives 93.14% accuracy for discrimination between normal-malign and 87.25% accuracy for normal-benign samples and 89.22% accuracy for benign-malign samples. The study reveals that features extracted in hybrid transform domain with SVM classifier proves to be a promising tool for analysis of mammograms. |
| first_indexed | 2024-12-10T10:17:59Z |
| format | Article |
| id | doaj.art-2127065a4bb5410da0d1b5fd209cb1e8 |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-12-10T10:17:59Z |
| publishDate | 2011-02-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-2127065a4bb5410da0d1b5fd209cb1e82022-12-22T01:52:57ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022011-02-0113172177MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAINB.N. Prathibha0V. Sadasivam1Department of Computer Science and Engineering, Manomaniam Sundaranar University, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, Manomaniam Sundaranar University, Tamil Nadu, IndiaBreast cancer is a primary cause of mortality and morbidity in women. Reports reveal that earlier the detection of abnormalities, better the improvement in survival. Digital mammograms are one of the most effective means for detecting possible breast anomalies at early stages. Digital mammograms supported with Computer Aided Diagnostic (CAD) systems help the radiologists in taking reliable decisions. The proposed CAD system extracts wavelet features and spectral features for the better classification of mammograms. The Support Vector Machines classifier is used to analyze 206 mammogram images from Mias database pertaining to the severity of abnormality, i.e., benign and malign. The proposed system gives 93.14% accuracy for discrimination between normal-malign and 87.25% accuracy for normal-benign samples and 89.22% accuracy for benign-malign samples. The study reveals that features extracted in hybrid transform domain with SVM classifier proves to be a promising tool for analysis of mammograms.http://ictactjournals.in/paper/IJIVP_7_172_177.pdfMammogramsClassificationHybrid TransformsSVM |
| spellingShingle | B.N. Prathibha V. Sadasivam MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN ICTACT Journal on Image and Video Processing Mammograms Classification Hybrid Transforms SVM |
| title | MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN |
| title_full | MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN |
| title_fullStr | MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN |
| title_full_unstemmed | MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN |
| title_short | MAMMOGRAMS ANALYSIS USING SVM CLASSIFIER IN COMBINED TRANSFORMS DOMAIN |
| title_sort | mammograms analysis using svm classifier in combined transforms domain |
| topic | Mammograms Classification Hybrid Transforms SVM |
| url | http://ictactjournals.in/paper/IJIVP_7_172_177.pdf |
| work_keys_str_mv | AT bnprathibha mammogramsanalysisusingsvmclassifierincombinedtransformsdomain AT vsadasivam mammogramsanalysisusingsvmclassifierincombinedtransformsdomain |