BURGET, Radim, Ondřej ŠMIRG, Miloš KEŘKOVSKÝ, Zdeněk SMÉKAL and Andrea ŠPRLÁKOVÁ-PUKOVÁ. Automatic segmentation of focal lesions in the brain, using artificial intelligence methods. In Kamil Vrba, Jaroslav Koton, Ondřej Krajsa. 13th International Conference on Research in Telecommunication Technologies 2011. 1.vyd. Brno: Brno University of Technology, 2011, p. 179-182. ISBN 978-80-214-4283-2.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Automatic segmentation of focal lesions in the brain, using artificial intelligence methods
Authors BURGET, Radim (203 Czech Republic, guarantor), Ondřej ŠMIRG (203 Czech Republic), Miloš KEŘKOVSKÝ (203 Czech Republic, belonging to the institution), Zdeněk SMÉKAL (203 Czech Republic) and Andrea ŠPRLÁKOVÁ-PUKOVÁ (203 Czech Republic, belonging to the institution).
Edition 1.vyd. Brno, 13th International Conference on Research in Telecommunication Technologies 2011, p. 179-182, 4 pp. 2011.
Publisher Brno University of Technology
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20201 Electrical and electronic engineering
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14110/11:00054406
Organization unit Faculty of Medicine
ISBN 978-80-214-4283-2
UT WoS 000393726100041
Keywords in English Computer Vision; Image Processing; Artificial Intelligence; Magnetic Resonance Imaging; Sclerosis Multiplex
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 11/9/2019 12:09.
Abstract
Multiple sclerosis is a chronic inflammatory demyelinating disease of the cerebral white matter and spinal cord. This paper describes the first results that were achieved by using an automatic method for the segmentation of affected areas, using data obtained by methods of magnetic resonance imaging (MRI). Methods of artificial intelligence are used to achieve high accuracy in the identification of lesions in the brain.
PrintDisplayed: 31/7/2024 13:25