Departments:
- - Applied Informatics
- - Image Processing and Computer Graphics
- - Foundations of Computer Science
- - Computer Algorithms and Artificial Intelligence
- - Software Engineering
- - Research Group on Artificial Intelligence
[University of Szeged]
Organ segmentation from 3D CT images
 | Members: László G. Nyúl, Eörs Máté, Kálmán Palágyi, Attila Kuba Funded by
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Description
Segmentation of the following organs were addressed:- Spinal cord
- Kidneys
- Liver
- Spleen
- Prostate
- Bladder
- Eye ball, lens, optic nerve
Publications
- László G. Nyúl, Judit Kanyó, Eörs Máté, Géza Makay, Emese Balogh, Márta Fidrich, and Attila Kuba. Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images. In A. Gagalowicz and W. Philips, editors, Proceedings of International Conference on Computer Analysis of Images and Patterns, volume 3691 of Lecture Notes in Computer Science, Heidelberg, pages 456-463, September 2005. Springer Verlag. [PDF] [Abstract]
- György Bekes, Márta Fidrich, László G. Nyúl, Attila Kuba, and Eörs Máté. 3D segmentation of liver, kidneys and spleen from CT images. In Proceedings of the International Conference on Computer Assisted Radiology and Surgery (CARS), volume 2 of International Journal of Computer Assisted Radiology and Surgery, Heidelberg, pages S45-S47, 2007. Springer Verlag. [WWW] [PDF] [doi:10.1007/s11548-007-0083-7] [Abstract]
- György Bekes, Eörs Máté, László G. Nyúl, Attila Kuba, and Márta Fidrich. Geometrical model-based segmentation of the organs of sight on CT images. Medical Physics, 35(2):735-743, February 2008. [WWW] [PDF] [doi:10.1118/1.2826557] [Abstract]