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17th International Conference on Pattern Recognition (ICPR'04) - Volume 3
An Enhanced Appearance Model for Ultrasound Image Segmentation
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Yifeng Jiang, The Chinese University of Hong Kong
Zhijun Zhang, The Chinese University of Hong Kong
Feng Cen, The Chinese University of Hong Kong
Hung Tat Tsui, The Chinese University of Hong Kong
Tze Kin Lau, The Chinese University of Hong Kong
Active Appearance Model (AAM) [Active appearance models] had been popular on object segmentation for medical images. However, its performance is not good on Ultrasound (US) images. In this paper, we propose an enhanced appearance model which represents the texture by edge structure [On Representing Edge Structure for Model Matching] and reduces the view-dependent feature of US images by a novel data normalization process. In our experiments on general US data, the proposed model shows considerable improvements compared to the original one [Active appearance models].
Citation:
Yifeng Jiang, Zhijun Zhang, Feng Cen, Hung Tat Tsui, Tze Kin Lau, "An Enhanced Appearance Model for Ultrasound Image Segmentation," icpr, vol. 3, pp.802-805, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004
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