Abstract
This paper provides summary of our experiments with automatic segmentation of liver parenchyma. It presents methods and classifiers that we used on computer tomography medicine data. In introduction there are a description of our motivation to do this research. Second part contains information about our approach, list of methods and classifiers. In part called results, we presents figure with subset of our experiment results and described evaluation. Summary at the end of this paper presents future research of this topic.
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This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held in Koblenz, December 1–5, 2014 (OGRW-9-2014).
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Miroslav Jirik was born in Klatovy, Czech Republic in 1984. He received his Bc. and Ing. (similar to M.S.) degrees in cybernetics from the University of West Bohemia, Pilsen, Czech Republic (UWB), in 2006 and 2008, respectively. As a Ph.D. candidate at the Department of Cybernetics, UWB his main research interests include computer vision, machine learning, medical imaging, image segmentation, texture analysis. He is a teaching assistant at the Department of Cybernetics, UWB.
Petr Neduchal was born in Rokycany, Czech Republic in 1989. He received his Bc. and Ing. (similar to M.S.) degrees in cybernetics at University of West Bohemia, Pilsen, Czech Republic (UWB), in 2011 and 2013, respectively. As a Ph.D. candidate at the Department of Cybernetics, UWB his main research interests including computer vision, estimation theory, simultaneous localization and mapping, medical imaging and thermography.
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Jirik, M., Neduchal, P. Experiments with automatic segmentation of liver parenchyma using texture description. Pattern Recognit. Image Anal. 26, 572–575 (2016). https://doi.org/10.1134/S1054661816030081
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DOI: https://doi.org/10.1134/S1054661816030081