Texture feature extraction based on wavelet transform and gray-level co-occurrence matrices applied to osteosarcoma diagnosis

Bio-Medical Materials and Engineering

Volumn 24, Issue 1, 2014, Pages 129-143

  Hu, Shan ^a   Xu, Chao ^a   Guan, Weiqiao ^a   Tang, Yong ^a,b   Yan, Liu ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b SOUTH CHINA NORMAL UNIVERSITY   (China)

Author keywords

Feature selection; gray level co occurrence matrix; osteosarcoma diagnosis; texture feature; wavelet transform

Indexed keywords

CHILDREN AND ADOLESCENTS; CLASSIFICATION ACCURACY; GRAY LEVEL CO-OCCURRENCE MATRIX; IMAGE TEXTURE ANALYSIS; OSTEOSARCOMA; SUPPORT VECTOR MACHINE ALGORITHM; TEXTURE FEATURE EXTRACTION; TEXTURE FEATURES;

BIOMEDICAL ENGINEERING; BIOTECHNOLOGY; BONE; FEATURE EXTRACTION; IMAGE PROCESSING; TEXTURES; WAVELET TRANSFORMS;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; CONFERENCE PAPER; DIAPHYSIS; EPIPHYSIS; EXTRACTION; HISTOGRAM; HUMAN; IMAGE PROCESSING; OSTEOSARCOMA; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

FEATURE SELECTION; GRAY-LEVEL CO-OCCURRENCE MATRIX; OSTEOSARCOMA DIAGNOSIS; TEXTURE FEATURE; WAVELET TRANSFORM;

ADOLESCENT; ALGORITHMS; ANALYSIS OF VARIANCE; AREA UNDER CURVE; BONE AND BONES; BONE NEOPLASMS; CHILD; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; FALSE POSITIVE REACTIONS; HUMANS; OSTEOSARCOMA; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

EID: 84891091798     PISSN: 09592989     EISSN: None     Source Type: Journal    
DOI: 10.3233/BME-130793     Document Type: Conference Paper

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