Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm

Medical Physics

Volumn 39, Issue 7, 2012, Pages 4255-4264

  Acharya, U Rajendra ^a   Sree, S Vinitha ^b   Ribeiro, Ricardo ^c   Krishnamurthi, Ganapathy ^d   Marinho, Rui Tato ^e   Sanches, João ^c   Suri, Jasjit S ^f,g  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b Global Biomedical Technologies Inc   (United States)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^d MAYO CLINIC   (United States)

^e HOSPITAL DE SANTA MARIA   (Portugal)

^f IDAHO STATE UNIVERSITY   (United States)

^g Nucl Eng Idaho State University   (United States)

Author keywords

computer aided diagnostic technique; discrete wavelet transform; fatty liver disease; higher order spectra; texture

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DECISION TREES; DISCRETE WAVELET TRANSFORMS; DISEASES; TEXTURES; TREES (MATHEMATICS); ULTRASONIC APPLICATIONS;

AUTOMATED CLASSIFICATION; CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSTICS; DECISION TREE CLASSIFIERS; FATTY LIVER DISEASE; HIGHER ORDER SPECTRUM; HYBRID-FEATURE EXTRACTION; INTEROBSERVER VARIABILITY;

DATA MINING;

EID: 84864261107     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4725759     Document Type: Article

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