Fatty liver characterization and classification by ultrasound

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5524 LNCS, Issue , 2009, Pages 354-361

  Ribeiro, Ricardo ^a,b   Sanches, João ^a,c  

^a INSTITUTE FOR SYSTEMS AND ROBOTICS   (Portugal)

^b INSTITUTO POLITÉCNICO DE LISBOA   (Portugal)

^c INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Bayesian; Speckle; Steatosis Diagnosis; Ultrasound

Indexed keywords

AUTOMATIC CLASSIFICATION; BAYES CLASSIFIER; BAYESIAN; BAYESIAN FRAMEWORKS; DYNAMIC RANGE COMPRESSION; ECHOGENIC; FATTY LIVER; GROUND TRUTH; HEPATIC CELLS; RF SIGNAL; SPECKLE IMAGES; STEATOSIS DIAGNOSIS; TEXTURAL FEATURE; ULTRASOUND; ULTRASOUND IMAGES; ULTRASOUND PROBES; VISUAL INSPECTION;

ACOUSTIC WAVES; AUTOMATIC INDEXING; BAYESIAN NETWORKS; DIAGNOSIS; IMAGE ANALYSIS; LIVER; PATTERN RECOGNITION; SPECKLE; ULTRASONIC APPLICATIONS; ULTRASONIC TRANSMISSION; ULTRASONICS; VISUAL COMMUNICATION;

ULTRASONIC IMAGING;

EID: 68749098600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02172-5_46     Document Type: Conference Paper

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