DocumentCode :
566464
Title :
A review of segmentation algorithms for ear image data
Author :
Ferreira, Ana ; Tavares, João Manuel R S ; Gentil, Fernanda
Author_Institution :
Inst. de Eng. Mec. e Gestao Ind., Univ. do Porto, Porto, Portugal
fYear :
2012
fDate :
20-23 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
The segmentation of ear structures in computed tomography (CT) and magnetic resonance (MR) images has gained high importance in the last years. In this paper, we present a review on the segmentation algorithms presented in the literature. As such, several algorithms, approaches, related issues and problems are defined and explained. Additionally, their use is illustrated and discussed, and their advantages and disadvantages are pointed out.
Keywords :
biomedical MRI; computerised tomography; ear; image segmentation; medical image processing; CT; MR images; computed tomography; ear image data; ear structures; magnetic resonance images; segmentation algorithms; Algorithm design and analysis; Clustering algorithms; Computed tomography; Deformable models; Ear; Image segmentation; Irrigation; Medical imaging; biomechanical models; deformable models; hearing; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
Conference_Location :
Madrid
ISSN :
2166-0727
Print_ISBN :
978-1-4673-2843-2
Type :
conf
Filename :
6263240
Link To Document :
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