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Description
| - The texture analysis of the retinal nerve fiber layer (RNFL) in colour fundus images is a promising tool for early glau-coma diagnosis. This paper describes model-based method for detection of changes in the RNFL. The method utilizes Gaussian Markov random fields (GMRF) and the least-square error (LSE) estimate for the local RNFL texture modelling. The model parameters are used as a texture fea-tures and non-linear classifier based on the Bayesian rule is used for classification of healthy and glaucomatous RNFL tissue. The proposed features are tested in the sense of clas-sification errors and also they are applied for segmentation of RNFL defects in high-resolution colour fundus-camera images. The results are also compared with the Optical Co-herence Tomography images regarded as a gold standard for our application due to the possibility of RNFL thickness measurement.
- The texture analysis of the retinal nerve fiber layer (RNFL) in colour fundus images is a promising tool for early glau-coma diagnosis. This paper describes model-based method for detection of changes in the RNFL. The method utilizes Gaussian Markov random fields (GMRF) and the least-square error (LSE) estimate for the local RNFL texture modelling. The model parameters are used as a texture fea-tures and non-linear classifier based on the Bayesian rule is used for classification of healthy and glaucomatous RNFL tissue. The proposed features are tested in the sense of clas-sification errors and also they are applied for segmentation of RNFL defects in high-resolution colour fundus-camera images. The results are also compared with the Optical Co-herence Tomography images regarded as a gold standard for our application due to the possibility of RNFL thickness measurement. (en)
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Title
| - Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling
- Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling (en)
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skos:prefLabel
| - Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling
- Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling (en)
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skos:notation
| - RIV/00216305:26220/10:PU86943!RIV11-MSM-26220___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1M0572), S, Z(MSM0021630513)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/10:PU86943
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - glaucoma, retinal nerve fiber layer, retinal vessels segmentation, texture analysis, pattern recognition (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - 18th European Signal Processing Conference (EUSIPCO-2010)
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Gazárek, Jiří
- Jan, Jiří
- Kolář, Radim
- Odstrčilík, Jan
- Harabiš, Vratislav
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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