An enhanced appearance model for ultrasound image segmentation

被引：3
|
作者：
Jiang, YF [1 ]
Zhang, ZJ [1 ]
Cen, F [1 ]
Tsui, HT [1 ]
Lau, TK [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3 | 2004年
关键词：
D O I：
10.1109/ICPR.2004.1334650
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Active Appearance Model (AAM) [1] 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 [2] 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 [1].
引用
收藏
页码：802 / 805
页数：4
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