This paper reviews ultrasound segmentation 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
Description
IEEE Xplore Abstract (Citations) - Ultrasound image segmentation: a survey
%0 Journal Article
%1 1661695
%A Noble, J.A
%A Boukerroui, D.
%D 2006
%J Medical Imaging, IEEE Transactions on
%K medical segmentation survey ultrasound
%N 8
%P 987-1010
%R 10.1109/TMI.2006.877092
%T Ultrasound image segmentation: a survey
%U http://ieeexplore.ieee.org/xpl/abstractCitations.jsp?arnumber=1661695&punumber%3D42
%V 25
%X This paper reviews ultrasound segmentation 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
@article{1661695,
abstract = {This paper reviews ultrasound segmentation 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},
added-at = {2014-09-02T10:59:58.000+0200},
author = {Noble, J.A and Boukerroui, D.},
biburl = {https://www.bibsonomy.org/bibtex/2739b6e74ddb2048e9777081d0db2532d/alex_ruff},
description = {IEEE Xplore Abstract (Citations) - Ultrasound image segmentation: a survey},
doi = {10.1109/TMI.2006.877092},
interhash = {e2244130391d1d734d84c103bf01751d},
intrahash = {739b6e74ddb2048e9777081d0db2532d},
issn = {0278-0062},
journal = {Medical Imaging, IEEE Transactions on},
keywords = {medical segmentation survey ultrasound},
month = aug,
number = 8,
pages = {987-1010},
timestamp = {2014-09-02T10:59:58.000+0200},
title = {Ultrasound image segmentation: a survey},
url = {http://ieeexplore.ieee.org/xpl/abstractCitations.jsp?arnumber=1661695&punumber%3D42},
volume = 25,
year = 2006
}