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  • This paper describes a structural approach to texture analysis of colour retinal photographs in order to discriminate normal and damaged glaucomatous tissue of human retina. A total number of 403 image samples of retinal tissue were used for training a simple linear classi-fier. The image samples were taken manually from real retina photographs by observer. The database includes 227 image samples of healthy and 176 samples of damaged tissue, respectively. The method was developed using the image samples as a standard for classi-fier training and finally tested on real images of retina with distinctive nerve fiber layer loss. The efficiency of the method was evaluated.
  • This paper describes a structural approach to texture analysis of colour retinal photographs in order to discriminate normal and damaged glaucomatous tissue of human retina. A total number of 403 image samples of retinal tissue were used for training a simple linear classi-fier. The image samples were taken manually from real retina photographs by observer. The database includes 227 image samples of healthy and 176 samples of damaged tissue, respectively. The method was developed using the image samples as a standard for classi-fier training and finally tested on real images of retina with distinctive nerve fiber layer loss. The efficiency of the method was evaluated. (en)
Title
  • Analysis of Retinal Images to Determine Nerve Fiber Layer Loss - Structural Approach
  • Analysis of Retinal Images to Determine Nerve Fiber Layer Loss - Structural Approach (en)
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  • Analysis of Retinal Images to Determine Nerve Fiber Layer Loss - Structural Approach
  • Analysis of Retinal Images to Determine Nerve Fiber Layer Loss - Structural Approach (en)
skos:notation
  • RIV/00216305:26220/09:PU80342!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), S, Z(MSM0021630513)
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
  • 302927
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/09:PU80342
http://linked.open...riv/jazykVysledku
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  • Retinal images, nerve fiber layer loss, textural analysis, segmentation of vessels, classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [58221D3F5070]
http://linked.open...v/mistoKonaniAkce
  • FEKT VUT v Brně
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 15th conference STUDENT EEICT 2009
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...iv/tvurceVysledku
  • Odstrčilík, Jan
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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  • Neuveden
https://schema.org/isbn
  • 978-80-214-3870-5
http://localhost/t...ganizacniJednotka
  • 26220
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