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Volumn 33, Issue 2, 2011, Pages 220-226

Comparative study on feature extraction method for breast cancer classification

Author keywords

Artificial neural network (ANN); Breast cancer; Feature; GLCM; Histogram; Intensity

Indexed keywords


EID: 82755182021     PISSN: 19928645     EISSN: 18173195     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (51)

References (16)
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  • 5
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    • Comparison of multiwavelet,wavelet,Haralick and shape features for microcalcification in mammograms
    • Hamid Soltanian-Zadeh, Farshid Rafee-Rad and Siamak Pourabdollah-Nejad,"Comparison of multiwavelet,wavelet,Haralick and shape features for microcalcification in mammograms", Pattern Recognition,37,pp.1973-1986,2004.
    • (2004) Pattern Recognition , vol.37 , pp. 1973-1986
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  • 6
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    • Rajendra Acharya, Yang and Kaw,"Computer-based identification of breast cancer using digitized mammograms", Journal of Medical Systems, 32, pp.499-507, 2008.
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    • Acharya, R.1    Yang2    Kaw3
  • 7
    • 33845329825 scopus 로고    scopus 로고
    • Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms
    • H. S. Sheshadri, A. Kandaswamy,"Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms", Computerized Medical Imaging and Graphics, No.31, pp.46-48, 2007.
    • (2007) Computerized Medical Imaging and Graphics , Issue.31 , pp. 46-48
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  • 9
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    • A kernel discriminant analysis in mammogram classification using with texture features in wavelet domain
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  • 13
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    • Classification of normal and abnormal patterns in digital mammograms for diagnosis of breast cancer
    • R. Nithya and B. Santhi,"Classification of normal and abnormal patterns in digital mammograms for diagnosis of breast cancer", International Journal of Computer Applications", Vol.28, No.6, 2011.
    • (2011) International Journal of Computer Applications , vol.28 , Issue.6
    • Nithya, R.1    Santhi, B.2
  • 15
    • 79953654774 scopus 로고    scopus 로고
    • Effective recognition of MCCs in mammograms using an improved neural classifier
    • Jinchang Ren, Dong Wang and Jianmin Jiang," Effective recognition of MCCs in mammograms using an improved neural classifier", Engineering Applications of Artificial Intelligence, 24, pp.638-645, 2011.
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    • Ren, J.1    Wang, D.2    Jiang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.