Classification of breast tumors using sonographic texture analysis

Journal of Ultrasound in Medicine

Volumn 34, Issue 2, 2015, Pages 225-231

  Ardakani, Ali Abbasian ^a   Gharbali, Akbar ^b   Mohammadi, Afshin ^c  

^a URMIA UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b URMIA UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c URMIA UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Breast tumors; Breast ultrasound; Computer aided diagnosis; Sonography; Texture analysis

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISCRIMINANT ANALYSIS; IMAGE SEGMENTATION; NONLINEAR ANALYSIS; TEXTURES; TUMORS; ULTRASONIC APPLICATIONS; ULTRASONOGRAPHY;

AVERAGE CORRELATION COEFFICIENTS; BREAST TUMOR; BREAST ULTRASOUND; NEAREST NEIGHBOR CLASSIFICATION; NONLINEAR DISCRIMINANT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC CURVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC CURVES; TEXTURE ANALYSIS;

COMPUTER AIDED ANALYSIS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; ECHOMAMMOGRAPHY; FEMALE; HUMAN; IMAGE ENHANCEMENT; OBSERVER VARIATION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY;

EID: 84921754422     PISSN: 02784297     EISSN: 15509613     Source Type: Journal    
DOI: 10.7863/ultra.34.2.225     Document Type: Article

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