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Description
  • The aim of this work is to develop a fully automatic method for peritumoral region segmentation in 3D FLAIR MRI. FLAIR was selected because of the visibility and manifestation of tumor edemas in this image type. The main reason for the edema segmentation is the tumor classification. This will be carried out by applying the resulting mask to perfusion MR images. Since perfusion images are of a very low contrast, the pathological area, it means the tumor and a potential edema around it, has to be detected and segmented in another type of MR images.
  • The aim of this work is to develop a fully automatic method for peritumoral region segmentation in 3D FLAIR MRI. FLAIR was selected because of the visibility and manifestation of tumor edemas in this image type. The main reason for the edema segmentation is the tumor classification. This will be carried out by applying the resulting mask to perfusion MR images. Since perfusion images are of a very low contrast, the pathological area, it means the tumor and a potential edema around it, has to be detected and segmented in another type of MR images. (en)
Title
  • Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI
  • Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI (en)
skos:prefLabel
  • Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI
  • Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI (en)
skos:notation
  • RIV/00216305:26220/13:PU104497!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
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  • P(ED2.1.00/03.0072), P(GAP102/12/1104), S
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  • 62582
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  • RIV/00216305:26220/13:PU104497
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  • Brain tumor, Image segmentation, MRI (en)
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  • [E6BBD2024301]
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  • Bartušek, Karel
  • Dvořák, Pavel
http://localhost/t...ganizacniJednotka
  • 26220
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