A model using texture features to differentiate the nature of thyroid nodules on sonography

Journal of Ultrasound in Medicine

Volumn 34, Issue 10, 2015, Pages 1753-1760

  Song, Gesheng ^a   Xue, Fuzhong ^b   Zhang, Chengqi ^c  

^a SHANDONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^b SHANDONG UNIVERSITY   (China)

^c THE FIRST AFFILIATED HOSPITAL OF SHANDONG FIRST MEDICAL UNIVERSITY   (China)

Author keywords

Co occurrence matrix; Differential diagnosis; Pattern recognition; Sonography; Thyroid nodule

Indexed keywords

DECISION TREES; DIAGNOSIS; ENTROPY; INVERSE PROBLEMS; MATRIX ALGEBRA; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; TEXTURES; ULTRASONOGRAPHY;

10-FOLD CROSS-VALIDATION; ARTIFICIAL NEURAL NETWORK MODELS; CO-OCCURRENCE-MATRIX; DIFFERENTIAL DIAGNOSIS; GRAY LEVEL CO OCCURRENCE MATRIX(GLCM); GRAY LEVEL CO-OCCURRENCE MATRIX; RECEIVER OPERATING CHARACTERISTIC CURVES; THYROID NODULE;

PREDICTIVE ANALYTICS;

ADULT; AGED; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; ECHOGRAPHY; EVALUATION STUDY; FEMALE; HUMAN; MALE; MIDDLE AGED; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; THYROID NODULE; VALIDATION STUDY; YOUNG ADULT;

ADULT; AGED; ALGORITHMS; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LOGISTIC MODELS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; THYROID NODULE; ULTRASONOGRAPHY; YOUNG ADULT;

EID: 84942753070     PISSN: 02784297     EISSN: 15509613     Source Type: Journal    
DOI: 10.7863/ultra.15.14.10045     Document Type: Article

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