A texton-based approach for the classification of lung parenchyma in CT images

Mehrdad J. Gangeh; Lauge Sørensen; Saher B. Shaker; Mohamed S. Kamel; Marleen de Bruijne; Marco Loog

doi:10.1007/978-3-642-15711-0_74

A texton-based approach for the classification of lung parenchyma in CT images

Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog

Datalogisk Institut

74 Citationer (Scopus)

Abstract

In this paper, a texton-based classification system based on raw pixel representation along with a support vector machine with radial basis function kernel is proposed for the classification of emphysema in computed tomography images of the lung. The proposed approach is tested on 168 annotated regions of interest consisting of normal tissue, centrilobular emphysema, and paraseptal emphysema. The results show the superiority of the proposed approach to common techniques in the literature including moments of the histogram of filter responses based on Gaussian derivatives. The performance of the proposed system, with an accuracy of 96.43%, also slightly improves over a recently proposed approach based on local binary patterns.

Originalsprog	Engelsk
Titel	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 : 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III
Redaktører	Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever
Antal sider	8
Vol/bind	Part III
Forlag	Springer
Publikationsdato	2010
Sider	595-602
DOI	https://doi.org/10.1007/978-3-642-15711-0_74
Status	Udgivet - 2010
Begivenhed	13th International Conference on Medical Image Computing and Computer Assisted Intervention - Beijing, Kina Varighed: 20 sep. 2010 → 24 sep. 2010 Konferencens nummer: 13

Konference

Konference	13th International Conference on Medical Image Computing and Computer Assisted Intervention
Nummer	13
Land/Område	Kina
By	Beijing
Periode	20/09/2010 → 24/09/2010

Navn	Lecture notes in computer science
Nummer	6363
ISSN	0302-9743

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10.1007/978-3-642-15711-0_74

10.1007%2F978-3-642-15711-0_74.pdfForlagets udgivne version, 394 KB

Citationsformater

Gangeh, M. J., Sørensen, L., Shaker, S. B., Kamel, M. S., de Bruijne, M., & Loog, M. (2010). A texton-based approach for the classification of lung parenchyma in CT images. I T. Jiang, N. Navab, J. P. W. Pluim, & M. A. Viergever (red.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III (Bind Part III, s. 595-602). Springer. Lecture notes in computer science Nr. 6363 https://doi.org/10.1007/978-3-642-15711-0_74

A texton-based approach for the classification of lung parenchyma in CT images. / Gangeh, Mehrdad J.; Sørensen, Lauge; Shaker, Saher B. et al.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. red. / Tianzi Jiang; Nassir Navab; Josien P. W. Pluim; Max A. Viergever. Bind Part III Springer, 2010. s. 595-602 (Lecture notes in computer science; Nr. 6363).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Gangeh, MJ, Sørensen, L, Shaker, SB, Kamel, MS, de Bruijne, M & Loog, M 2010, A texton-based approach for the classification of lung parenchyma in CT images. i T Jiang, N Navab, JPW Pluim & MA Viergever (red), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. bind Part III, Springer, Lecture notes in computer science, nr. 6363, s. 595-602, 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, Kina, 20/09/2010. https://doi.org/10.1007/978-3-642-15711-0_74

Gangeh MJ, Sørensen L, Shaker SB, Kamel MS, de Bruijne M, Loog M. A texton-based approach for the classification of lung parenchyma in CT images. I Jiang T, Navab N, Pluim JPW, Viergever MA, red., Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. Bind Part III. Springer. 2010. s. 595-602. (Lecture notes in computer science; Nr. 6363). doi: 10.1007/978-3-642-15711-0_74

Gangeh, Mehrdad J. ; Sørensen, Lauge ; Shaker, Saher B. et al. / A texton-based approach for the classification of lung parenchyma in CT images. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. red. / Tianzi Jiang ; Nassir Navab ; Josien P. W. Pluim ; Max A. Viergever. Bind Part III Springer, 2010. s. 595-602 (Lecture notes in computer science; Nr. 6363).

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abstract = "In this paper, a texton-based classification system based on raw pixel representation along with a support vector machine with radial basis function kernel is proposed for the classification of emphysema in computed tomography images of the lung. The proposed approach is tested on 168 annotated regions of interest consisting of normal tissue, centrilobular emphysema, and paraseptal emphysema. The results show the superiority of the proposed approach to common techniques in the literature including moments of the histogram of filter responses based on Gaussian derivatives. The performance of the proposed system, with an accuracy of 96.43%, also slightly improves over a recently proposed approach based on local binary patterns.",

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A texton-based approach for the classification of lung parenchyma in CT images

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