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