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Volumn , Issue , 2010, Pages

A novel opposition-based classifier for mass diagnosis in mammography images

Author keywords

Computer aided diagnosis; Mammography; Multi layer perceptron; Opposition based learning

Indexed keywords

BP ALGORITHM; BREAST MASS; CONVERGENCE RATES; DESCRIPTORS; DIAGNOSTIC PERFORMANCE; GRAY LEVELS; HISTOGRAM EQUALIZATIONS; LEARNING RULES; MULTI LAYER PERCEPTRON; OPPOSITION BASED LEARNING; TRAINING TIME; ZERNIKE MOMENTS;

EID: 79951758267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBME.2010.5704940     Document Type: Conference Paper
Times cited : (8)

References (13)
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  • 4
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    • Mashor, M.Y.1
  • 9
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    • Suckling, J.1
  • 10
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    • Approaches for automated detection and classification of masses in mammograms
    • DOI 10.1016/j.patcog.2005.07.006, PII S0031320305002955, Graph-Based Representations
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    • Cheng, H.D.1    Shi, X.J.2    Min, R.3    Hu, L.M.4    Cai, X.P.5    Du, H.N.6
  • 11
    • 0033233283 scopus 로고    scopus 로고
    • Classifying mammographic mass shapes using the wavelet transform modulus-maxima method
    • DOI 10.1109/42.819326
    • L.M. Bruce, R.R. Adhami, "Classifying mammographic mass shapes using the wavelet transform modulus-maxima method," IEEE Trans. Medical Imaging, vol. 18, no. 12, pp. 1170-1177, 1999. (Pubitemid 30558842)
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  • 12
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.