A rapid approach for prediction of liver cirrhosis based on first order statistics

2011 International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2011

Volumn , Issue , 2011, Pages 212-215

  Virmani, Jitendra ^a   Kumar, Vinod ^a   Kalra, Naveen ^b   Khadelwal, Niranjan ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b POSTGRADUATE INSTITUTE OF MEDICAL EDUCATION AND RESEARCH   (India)

Author keywords

B mode ultrasound image; correlation based feature selection (CFS); first order statistics (FOS); liver cirrhosis; liver state index (LSI); neural network (NN)

Indexed keywords

10-FOLD CROSS-VALIDATION; B-MODE ULTRASOUND IMAGES; CLASS LABELS; CLASSIFICATION ACCURACY; FEATURE VECTORS; FIRST-ORDER STATISTICS; GRAY LEVELS; HIGHLY-CORRELATED; LIVER CIRRHOSIS; LIVER IMAGES; ON THE FLIES; REGION OF INTEREST; SEGMENTED REGIONS; STANDARD DEVIATION; STATISTICAL MEASURES;

COMMUNICATION; NEURAL NETWORKS; SIGNAL PROCESSING; STATISTICAL METHODS;

ULTRASONICS;

EID: 84858034360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSPCT.2011.6150477     Document Type: Conference Paper

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