|
|
Volumn , Issue , 2007, Pages 2473-2476
|
|
Image texture clustering for prostate ultrasound diagnosis
|
|
Author keywords
Cancer diagnosis screening; Haralick's image texture features; High performance computing; Image texture analysis; Mean square error; Prostate ultrasound; Sparse matrix; Tissue image clustering classification
|
|
Indexed keywords
BIOPSY GUIDANCE;
CANCER DIAGNOSIS SCREENING;
CLINICAL METHODS;
CLINICAL SETTINGS;
CO-OCCURRENCE MATRICES;
CO-OCCURRENCE MATRIX TECHNIQUES;
CPU TIME;
GLEASON SCORE;
HARALICK'S IMAGE TEXTURE FEATURES;
HIGH-PERFORMANCE COMPUTING;
IMAGE APPLICATIONS;
IMAGE TEXTURE ANALYSIS;
IMAGE TEXTURES;
INTEGRATED APPROACH;
INTEGRATED PLATFORMS;
MEAN-SQUARED ERROR;
NORMAL TISSUES;
PARAMETER SETTINGS;
POINT-OF-CARE;
PROSTATE CANCER;
PROSTATE ULTRASOUND;
RUN-TIME;
SIGNIFICANT REDUCTION;
SPARSE MATRIX;
SQUARE IMAGE;
TEXTURAL ANALYSIS;
TEXTURAL FEATURES;
TISSUE IMAGE CLUSTERING/CLASSIFICATION;
ULTRASOUND DIAGNOSIS;
ULTRASOUND IMAGES;
ULTRASOUND IMAGING;
ACOUSTIC WAVES;
BIOPSY;
CHLORINE COMPOUNDS;
CLUSTERING ALGORITHMS;
COPYING;
DIAGNOSIS;
FLOW OF SOLIDS;
FORESTRY;
IMAGE ENHANCEMENT;
IMAGE REGISTRATION;
IMAGE SEGMENTATION;
IMAGING TECHNIQUES;
MATRIX ALGEBRA;
MEAN SQUARE ERROR;
MEDICAL IMAGING;
NASA;
PIXELS;
SECURITY OF DATA;
TEXTURES;
TUMORS;
ULTRASONIC IMAGING;
ULTRASONICS;
WINDOWS;
ERROR ANALYSIS;
|
|
EID: 48149101068
PISSN: 10510117
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ULTSYM.2007.622 Document Type: Conference Paper |
|
Times cited : (6)
|
|
References (9)
|
