An expert support system for breast cancer diagnosis using color wavelet features

Journal of Medical Systems

Volumn 36, Issue 5, 2012, Pages 3091-3102

  Issac Niwas, S ^a   Palanisamy, P ^a   Chibbar, Rajni ^b   Zhang, W J ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Breast cancer; Color wavelet features; Complex wavelet transform; Na ves Bayes classifier and Artificial Neural Network; Support Vector Machine

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; BREAST CANCER; CANCER DIAGNOSIS; COLOR; COMPARATIVE STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EXPERT SYSTEM; HUMAN; HUMAN TISSUE; MICROSCOPE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS; BAYES THEOREM; BREAST TUMOR; CELL SHAPE; CELL SIZE; COMPUTER ASSISTED DIAGNOSIS; METHODOLOGY; PATHOLOGY; RADIOGRAPHY;

BAYES THEOREM; BREAST NEOPLASMS; CELL SHAPE; CELL SIZE; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

EID: 84867319523     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9788-9     Document Type: Article

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