Breast-Cancer identification using HMM-fuzzy approach

Computers in Biology and Medicine

Volumn 40, Issue 3, 2010, Pages 240-251

  Hassan, Md Rafiul ^a   Hossain, M Maruf ^a   Begg, Rezaul Karim ^b   Ramamohanarao, Kotagiri ^a   Morsi, Yos ^c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b VICTORIA UNIVERSITY   (Australia)

^c SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Classification; Feature selection; Fuzzy logic; Hidden Markov model (HMM); Receiver operating characteristics (ROC)

Indexed keywords

AREA UNDER THE ROC CURVE; BREAST CANCER; BREAST LESION; CLASSIFICATION; CLASSIFICATION ACCURACY; CLASSIFICATION FEATURES; CLASSIFICATION PERFORMANCE; COMPUTATIONAL TOOLS; DATA SETS; DEVELOPED MODEL; FEATURE SELECTION AND CLASSIFICATION; FUZZY APPROACH; GRADIENT DESCENT ALGORITHMS; LOG LIKELIHOOD; RECEIVER OPERATING CHARACTERISTICS; WISCONSIN;

FUZZY RULES; FUZZY SYSTEMS; HIDDEN MARKOV MODELS; OPTIMIZATION; STATISTICAL TESTS;

FUZZY LOGIC;

AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CLINICAL FEATURE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FUZZY LOGIC; FUZZY SYSTEM; HIDDEN MARKOV MODEL; HUMAN; LIFE EXPECTANCY; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; AREA UNDER CURVE; BREAST NEOPLASMS; FEMALE; FUZZY LOGIC; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, THEORETICAL; ROC CURVE;

EID: 77549087808     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.11.003     Document Type: Article

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