Automated 3D ultrasound image segmentation to aid breast cancer image interpretation

Ultrasonics

Volumn 65, Issue , 2016, Pages 51-58

  Gu, Peng ^a   Lee, Won Mean ^b   Roubidoux, Marilyn A ^b   Yuan, Jie ^a   Wang, Xueding ^b   Carson, Paul L ^b  

^a NANJING UNIVERSITY   (China)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

3D image segmentation; Assisted diagnosis; Breast ultrasound; Medical imaging

Indexed keywords

AUTOMATION; DIAGNOSIS; DISEASES; HISTOLOGY; MEDICAL IMAGING; TISSUE; ULTRASONICS;

3D IMAGE SEGMENTATION; 3D ULTRASOUND IMAGES; AUTOMATED SEGMENTATION METHOD; AVERAGE SIMILARITIES; BREAST ULTRASOUND; IMAGE INTERPRETATION; QUANTITATIVE COMPARISON; THREE DIMENSIONAL (3D) ULTRASOUND VOLUMES;

IMAGE SEGMENTATION;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; ECHOMAMMOGRAPHY; FEMALE; HUMAN; IMAGE ENHANCEMENT; MACHINE LEARNING; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MACHINE LEARNING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, MAMMARY;

EID: 84948417845     PISSN: 0041624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultras.2015.10.023     Document Type: Article

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