About: Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding     Goto   Sponge   NotDistinct   Permalink

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  • Nowadays, the brain tumor detection and segmentation in MR images is a developing issue. There are many research teams producing different and interesting methods andalgorithms for this particular task of medical image processing. Many of them are semi-automatic, but the aim of current research, and of this work, is to find a fully automatic method. This paper focuses on the automatic edema segmentation in FLAIR images. his type of contrast images was selected because of the visibility and manifestation of edema in this image type. Since in axial plane of healthy brain, the approximate left-right symmetry exists, it is used as the prior knowledge for searching the approximate edema location. It is assumed that the edema is not located symmetrically in both hemispheres, which is met in most cases. For the detection, the multi-resolution approach is used. Since the edemas manifest as a hyperintense area in FLAIR images, it is extracted using thresholding. For the automatic determination of the threshol
  • Nowadays, the brain tumor detection and segmentation in MR images is a developing issue. There are many research teams producing different and interesting methods andalgorithms for this particular task of medical image processing. Many of them are semi-automatic, but the aim of current research, and of this work, is to find a fully automatic method. This paper focuses on the automatic edema segmentation in FLAIR images. his type of contrast images was selected because of the visibility and manifestation of edema in this image type. Since in axial plane of healthy brain, the approximate left-right symmetry exists, it is used as the prior knowledge for searching the approximate edema location. It is assumed that the edema is not located symmetrically in both hemispheres, which is met in most cases. For the detection, the multi-resolution approach is used. Since the edemas manifest as a hyperintense area in FLAIR images, it is extracted using thresholding. For the automatic determination of the threshol (en)
Title
  • Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding
  • Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding (en)
skos:prefLabel
  • Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding
  • Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding (en)
skos:notation
  • RIV/00216305:26220/13:PU104543!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
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  • I, P(ED0017/01/01), P(ED2.1.00/03.0072), P(GAP102/12/1104), S
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  • 62579
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  • RIV/00216305:26220/13:PU104543
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  • Brain symmetry, brain tumor, edema, edema segmentation, magnetic resonance, segmentation. (en)
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  • [F3E7B7F3A867]
http://linked.open...v/mistoKonaniAkce
  • Stockholm
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  • Stockholm
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  • PIERS 2013 Stockholm Proceedings
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  • Bartušek, Karel
  • Dvořák, Pavel
  • Kropatsch, Walter G.
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-1-934142-26-4
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  • 26220
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