Effect of a Novel Segmentation Algorithm on Radiologists' Diagnosis of Breast Masses Using Ultrasound Imaging

Ultrasound in Medicine and Biology

Volumn 38, Issue 1, 2012, Pages 119-127

  Jia Wei, Tian ^a,b   Chun Ping, Ning ^a   Yan Hui, Guo ^b   Heng Da, Cheng ^c   Xiang Long, Tang ^b  

^a THE SECOND AFFILIATED HOSPITAL OF HARBIN MEDICAL UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c Utah State University ^*  (United States)

Author keywords

BI RADS; Breast; Mass; Segmentation; Ultrasound

Indexed keywords

BI-RADS; BREAST; BREAST MASS; DIAGNOSIS PERFORMANCE; MALIGNANT MASS; MASS; RECEIVER OPERATING CHARACTERISTIC CURVE ANALYSIS; ROC CURVES; SEGMENTATION ALGORITHMS; SENSITIVITY AND SPECIFICITY; ULTRASOUND IMAGES; ULTRASOUND IMAGING;

ALGORITHMS; MEDICAL IMAGING; ULTRASONIC IMAGING; ULTRASONICS;

IMAGE SEGMENTATION;

ADULT; AGED; ALGORITHM; ARTICLE; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; ECHOMAMMOGRAPHY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAJOR CLINICAL STUDY; PREDICTIVE VALUE; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SEGMENTATION ALGORITHM; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY;

EID: 83055176280     PISSN: 03015629     EISSN: 1879291X     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2011.09.011     Document Type: Article

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