A study of ultrasonic liver images classification with artificial neural networks based on fractal geometry and multiresolution analysis

Biomedical Engineering - Applications, Basis and Communications

Volumn 16, Issue 2, 2004, Pages 59-67

  Lee, Wen Li ^a   Hsieh, Kai Sheng ^b   Chen, Yung Chang ^c   Chen, Ying Cheng ^c  

^a Kang Ning Junior College of Medical Care and Management   (Taiwan)

^b KAOHSIUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^c NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Artificial neural networks; Classification; Fractal geometry; Multiresolution analysis; Statistic classifiers; Wavelet transform

Indexed keywords

BACKPROPAGATION; BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); FRACTALS; IMAGE ANALYSIS; NEURAL NETWORKS; TISSUE; ULTRASONIC IMAGING; WAVELET TRANSFORMS;

BAYES CLASSIFIERS; LIVER TISSUES; PROBABILISTIC NEURAL NETWORKS;

BIOMEDICAL ENGINEERING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; FRACTAL ANALYSIS; GEOMETRY; HUMAN; HUMAN TISSUE; IMAGING SYSTEM; LIVER DISEASE; MAJOR CLINICAL STUDY; OPTICAL RESOLUTION; PROBABILITY; STATISTICAL ANALYSIS; ULTRASOUND;

EID: 2942717172     PISSN: 10162372     EISSN: None     Source Type: Journal    
DOI: 10.4015/S1016237204000104     Document Type: Article

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