Automatic segmentation of focal lesions in the brain, using
artificial intelligence methods

D 2011

Automatic segmentation of focal lesions in the brain, using artificial intelligence methods

BURGET, Radim; Ondřej ŠMIRG; Miloš KEŘKOVSKÝ; Zdeněk SMÉKAL; Andrea ŠPRLÁKOVÁ-PUKOVÁ et al.

Základní údaje

Originální název

Automatic segmentation of focal lesions in the brain, using artificial intelligence methods

Autoři

BURGET, Radim; Ondřej ŠMIRG; Miloš KEŘKOVSKÝ; Zdeněk SMÉKAL a Andrea ŠPRLÁKOVÁ-PUKOVÁ

Vydání

1.vyd. Brno, 13th International Conference on Research in Telecommunication Technologies 2011, od s. 179-182, 4 s. 2011

Nakladatel

Brno University of Technology

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20201 Electrical and electronic engineering

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/11:00054406

Organizační jednotka

Lékařská fakulta

ISBN

978-80-214-4283-2

UT WoS

000393726100041

Klíčová slova anglicky

Computer Vision; Image Processing; Artificial Intelligence; Magnetic Resonance Imaging; Sclerosis Multiplex

Změněno: 11. 9. 2019 12:09, Mgr. Michal Petr

Anotace

V originále

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.

Citovat

BURGET, Radim; Ondřej ŠMIRG; Miloš KEŘKOVSKÝ; Zdeněk SMÉKAL a 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, s. 179-182. ISBN 978-80-214-4283-2.

@inproceedings{962313,
   author = {Burget, Radim and Šmirg, Ondřej and Keřkovský, Miloš and Smékal, Zdeněk and ŠprlákováandPuková, Andrea},
   address = {Brno},
   booktitle = {13th International Conference on Research in Telecommunication Technologies 2011},
   edition = {1.vyd.},
   editor = {Kamil Vrba, Jaroslav Koton, Ondřej Krajsa},
   keywords = {Computer Vision; Image Processing; Artificial Intelligence; Magnetic Resonance Imaging; Sclerosis Multiplex},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-214-4283-2},
   pages = {179-182},
   publisher = {Brno University of Technology},
   title = {Automatic segmentation of focal lesions in the brain, using artificial intelligence methods},
   year = {2011}
}

TY  - CONF
ID  - 962313
AU  - Burget, Radim - Šmirg, Ondřej - Keřkovský, Miloš - Smékal, Zdeněk - Šprláková-Puková, Andrea
PY  - 2011
TI  - Automatic segmentation of focal lesions in the brain, using artificial intelligence methods
PB  - Brno University of Technology
CY  - Brno
SN  - 9788021442832
KW  - Computer Vision
KW  - Image Processing
KW  - Artificial Intelligence
KW  - Magnetic Resonance Imaging
KW  - Sclerosis Multiplex
N2  - 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.
ER  -

BURGET, Radim; Ondřej ŠMIRG; Miloš KEŘKOVSKÝ; Zdeněk SMÉKAL a Andrea ŠPRLÁKOVÁ-PUKOVÁ. Automatic segmentation of focal lesions in the brain, using artificial intelligence methods. In Kamil Vrba, Jaroslav Koton, Ondřej Krajsa. \textit{13th International Conference on Research in Telecommunication Technologies 2011}. 1.vyd. Brno: Brno University of Technology, 2011, s.~179-182. ISBN~978-80-214-4283-2.

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