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Description
  • The autofluorescence of the retinal tissue has a potential to be used as a feature for the early glaucoma diagnosis [3]. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results [14]. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimation in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance.
  • The autofluorescence of the retinal tissue has a potential to be used as a feature for the early glaucoma diagnosis [3]. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results [14]. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimation in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance. (en)
  • Článek se zabývá využitím autofluorescenčních (AF) obrazů sítnice, jako zdroje přídavných informací, pro včasnou diagnostiku glaukomového onemocnění. Je navržen postup pro detekci zón se zvýšenou autofluorescencí v okolí optického disku (OD). (cs)
Title
  • Computer support for early glaucoma diagnosis based on the fused retinal images
  • Počítačová podpora pro včasnou diagnostiku glaukomu založená na fůzovaných obrazech sítnice (cs)
  • Computer support for early glaucoma diagnosis based on the fused retinal images (en)
skos:prefLabel
  • Computer support for early glaucoma diagnosis based on the fused retinal images
  • Počítačová podpora pro včasnou diagnostiku glaukomu založená na fůzovaných obrazech sítnice (cs)
  • Computer support for early glaucoma diagnosis based on the fused retinal images (en)
skos:notation
  • RIV/00216305:26220/06:PU64701!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 249-258
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 79
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 469514
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/06:PU64701
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • glaucoma, image segmentation, retinal images (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [098C3E7AE5E4]
http://linked.open...i/riv/nazevZdroje
  • Scripta medica
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2006
http://linked.open...iv/tvurceVysledku
  • Jan, Jiří
  • Kolář, Radim
  • Kubečka, Libor
http://linked.open...n/vavai/riv/zamer
issn
  • 1211-3395
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
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