A novel automatic seed point selection algorithm for breast ultrasound images

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Shan, Juan ^a   Cheng, H D ^a   Wang, Yuxuan ^a  

^a Utah State University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE SEGMENTATION; PATTERN RECOGNITION; ULTRASONICS;

BREAST ULTRASOUND IMAGES; HUMAN INTERACTIONS; MEDICAL ULTRASOUND IMAGES; QUANTITATIVE EXPERIMENTS; REGION GROWING ALGORITHM; REGION GROWING METHODS; SEGMENTATION METHODS; ULTRASOUND IMAGES;

MEDICAL IMAGING;

EID: 77957938677     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761336     Document Type: Conference Paper

References (7)

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3. A. Rolf and B. Leanne. Seeded Region Growing. IEEE Transactions on Image processing, 16(6): 641-647, June 1994.
4. S. Poonguzhali and G. Ravindran. A complete automatic region growing method for segmentation of masses on ultrasound images, Biomedical and Pharmaceutical Engineering International Conference on, pp. 88-92, December 2006.
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6. I. S. Jung, D. Thapa and G. N. Wang. Automatic Segmentation and Diagnosis of Breast Lesions Using Morphology Method Based on Ultrasound. Fuzzy Systems and Knowledge Discovery, 3614: 1079-1088, 2005.
7. Y. J. Yu and S. T. Acton, Speckle reducing anisotropic diffusion. IEEE Transactions on Image Processing, 11: 1260-1270, 2002.