Classification of the hepatocellular carcinoma in ultrasound images based on the imagistic textural model of this tumor

IFMBE Proceedings

Volumn 26, Issue , 2009, Pages 267-272

  Mitrea, D ^a   Nedevschi, S ^a   Lupsor, M ^b   Socaciu, M ^b   Badea, R ^b  

^a TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

^b IULIU HATIEGANU UNIVERSITY OF MEDICINE AND PHARMACY   (Romania)

Author keywords

Classification; Feature selection; Hepatocellular carcinoma; Imagistic textural model; Texture

Indexed keywords

AUTOMATIC DIAGNOSIS; BENIGN TUMOR; CLASSIFICATION; COMPUTERIZED METHODS; EFFICIENT FEATURE SELECTIONS; FEATURE SELECTION; FEATURE SELECTION AND CLASSIFICATION; FINAL OBJECTIVE; HEPATOCELLULAR CARCINOMA; HUMAN EYE; IMAGISTIC TEXTURAL MODEL; META-CLASSIFIERS; NON-INVASIVE WAY; SPECIFIC VALUES; STATISTICAL PATTERN CLASSIFICATION; TEXTURAL FEATURE; TEXTURE CHARACTERIZATIONS; ULTRASOUND IMAGES; VALIDATION PHASE;

COMPUTER AIDED DIAGNOSIS; HEALTH CARE; IMAGE ANALYSIS; TEXTURES; TUMORS; ULTRASONICS;

FEATURE EXTRACTION;

EID: 77950402412     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-04292-8_59     Document Type: Conference Paper

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