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超声图像分割:综述

Ultrasound image segmentation: a survey.

作者信息

Noble J Alison, Boukerroui Djamal

机构信息

Department of Engineering Science, University of Oxford, UK.

出版信息

IEEE Trans Med Imaging. 2006 Aug;25(8):987-1010. doi: 10.1109/tmi.2006.877092.

DOI:10.1109/tmi.2006.877092
PMID:16894993
Abstract

This paper reviews ultrasound segmentation paper methods, in a broad sense, focusing on techniques developed for medical B-mode ultrasound images. First, we present a review of articles by clinical application to highlight the approaches that have been investigated and degree of validation that has been done in different clinical domains. Then, we present a classification of methodology in terms of use of prior information. We conclude by selecting ten papers which have presented original ideas that have demonstrated particular clinical usefulness or potential specific to the ultrasound segmentation problem.

摘要

本文从广义上回顾了超声分割的论文方法,重点关注针对医学B型超声图像开发的技术。首先,我们按临床应用对文章进行综述,以突出已研究的方法以及在不同临床领域所做的验证程度。然后,我们根据先验信息的使用对方法进行分类。最后,我们挑选出十篇提出了具有特定临床实用性或超声分割问题特有潜力的原创观点的论文。

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Ultrasound image segmentation: a survey.超声图像分割:综述
IEEE Trans Med Imaging. 2006 Aug;25(8):987-1010. doi: 10.1109/tmi.2006.877092.
2
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