Automatic classification of focal lesions in ultrasound liver images using principal component analysis and neural networks

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 2134-2137

  Balasubramanian, Deepalakshmi ^a   Srinivasan, Poonguzhali ^a   Gurupatham, Ravindran ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Classification; Feature extraction; Feature selection; Image analysis; Neural networks; Principal component analysis; Texture

Indexed keywords

BIOLOGICAL ORGANS; FEATURE EXTRACTION; NEURAL NETWORKS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; ULTRASONICS;

ABDOMINAL ORGANS; FOCAL LESIONS; LIVER IMAGES;

IMAGE ANALYSIS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; ECHOGRAPHY; EQUIPMENT; EQUIPMENT DESIGN; HUMAN; INFORMATION PROCESSING; LIVER; LIVER DISEASE; METHODOLOGY; MULTIVARIATE ANALYSIS; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; STATISTICAL MODEL;

AUTOMATIC DATA PROCESSING; AUTOMATION; EQUIPMENT DESIGN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIVER; LIVER DISEASES; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; ULTRASONOGRAPHY;

EID: 57649213369     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352744     Document Type: Conference Paper

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