About: Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields     Goto   Sponge   NotDistinct   Permalink

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Description
  • This paper describes method for analysis of the texture created by retinal nerve fibers (RNF) via Markov Random Fields. The Causal Autoregressive Random (CAR) model is used to create a feature vector describing the changes in texture due to losses in RNF layer. It is shown that features based on CAR model can be used for discrimination between healthy and glaucomatous tissue using simple linear classifier. The classification error is slightly below 4% for the tested dataset.
  • This paper describes method for analysis of the texture created by retinal nerve fibers (RNF) via Markov Random Fields. The Causal Autoregressive Random (CAR) model is used to create a feature vector describing the changes in texture due to losses in RNF layer. It is shown that features based on CAR model can be used for discrimination between healthy and glaucomatous tissue using simple linear classifier. The classification error is slightly below 4% for the tested dataset. (en)
Title
  • Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields
  • Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields (en)
skos:prefLabel
  • Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields
  • Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields (en)
skos:notation
  • RIV/67985556:_____/09:00332121!RIV10-MSM-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...dnocenehoVysledku
  • 346119
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/09:00332121
http://linked.open...riv/jazykVysledku
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  • glaucoma; texture analysis; fundus image (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [82E482C5165E]
http://linked.open...v/mistoKonaniAkce
  • Munich
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • World Congress on Medical Physics and Biomedical Engineering
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http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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  • Vácha, Pavel
  • Kolář, R.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-03890-7
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