Morphological and wavelet features towards sonographic thyroid nodules evaluation

Computerized Medical Imaging and Graphics

Volumn 33, Issue 2, 2009, Pages 91-99

  Tsantis, Stavros ^a   Dimitropoulos, Nikos ^c   Cavouras, Dionisis ^b   Nikiforidis, George ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

^c EUROMEDICA Medical Center   (Greece)

Author keywords

Morphological features; Probabilistic neural networks; Support vector machines; Thyroid ultrasound; Wavelet local maxima features

Indexed keywords

BOUNDARY SHAPES; CLASSIFICATION ACCURACIES; CLASSIFICATION PROCEDURES; CLASSIFICATION SCHEMES; COMPARATIVE STUDIES; FEATURE SETS; MORPHOLOGICAL FEATURES; PATTERN RECOGNITION ALGORITHMS; PROBABILISTIC NEURAL NETWORKS; RECEIVER OPERATING CHARACTERISTICS; RISK EVALUATIONS; ROC CURVES; SENSITIVITY AND SPECIFICITIES; SONOGRAPHIC; SUPPORT VECTOR MACHINES CLASSIFIERS; THYROID CANCERS; THYROID NODULES; THYROID ULTRASOUND; ULTRASOUND IMAGES; WAVELET FEATURES; WAVELET LOCAL MAXIMA FEATURES;

ACOUSTIC WAVES; ARRAY PROCESSING; CLASSIFIERS; IMAGE RETRIEVAL; LEARNING SYSTEMS; PATTERN RECOGNITION; PROBABILITY; RISK PERCEPTION; SPECKLE; SUPPORT VECTOR MACHINES; ULTRASONIC APPLICATIONS; ULTRASONIC IMAGING; ULTRASONICS; ULTRASONOGRAPHY; VECTORS; WATER PIPELINES;

NEURAL NETWORKS;

AREA UNDER THE CURVE; ARTICLE; CANCER CONTROL; CANCER DIAGNOSIS; CANCER RISK; CLASSIFIER; CLINICAL FEATURE; COMPARATIVE STUDY; COMPUTER; CYTOLOGY; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DISEASE CLASSIFICATION; ECHOGRAPHY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MORPHOLOGY; NERVE CELL NETWORK; PATTERN RECOGNITION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; THYROID CANCER; THYROID NODULE;

HUMANS; IMAGE ENHANCEMENT; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; THYROID GLAND; THYROID NODULE; ULTRASONOGRAPHY;

EID: 58149173938     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2008.10.010     Document Type: Article

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