Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

Pattern Recognition

Volumn 48, Issue 2, 2015, Pages 485-497

  Xian, Min ^a,b   Zhang, Yingtao ^b   Cheng, H D ^a  

^a Utah State University ^*  (United States)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Automatic segmentation; Breast ultrasound (BUS) images; Computer aided diagnosis (CAD); Region of interest (ROI) generation

Indexed keywords

BUSES; COMPUTER AIDED DIAGNOSIS; COST FUNCTIONS; MEDICAL IMAGING; TUMORS; ULTRASONICS;

AUTOMATIC SEGMENTATIONS; BREAST ULTRASOUND; BREAST ULTRASOUND IMAGES; COMPUTER AIDED DIAGNOSIS SYSTEMS; COMPUTER AIDED DIAGNOSIS(CAD); INTENSITY DISTRIBUTION; REGION OF INTEREST; SPACE AND FREQUENCY DOMAINS;

IMAGE SEGMENTATION;

EID: 84910148299     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.07.026     Document Type: Article

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