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Description
  • The paper describes an automatic unsupervised segmentation of stained histological sections, which would be suitable for further registration of series of stained consecutive histological cuts. We combine some already existing methods - Gaussian Mixture model above colour histogram, superpixels to increase the robustness and speed and the Graph Cut method to obtain compact segmentation. We show the experimental results and segmentation precision on both synthetic and real histological images. For synthetic images we reach mean classification error for 4-class segmentation of about 3%. The unsupervised segmentation on real images shows us always reasonable object, which is important for future segmentation-based registration.
  • The paper describes an automatic unsupervised segmentation of stained histological sections, which would be suitable for further registration of series of stained consecutive histological cuts. We combine some already existing methods - Gaussian Mixture model above colour histogram, superpixels to increase the robustness and speed and the Graph Cut method to obtain compact segmentation. We show the experimental results and segmentation precision on both synthetic and real histological images. For synthetic images we reach mean classification error for 4-class segmentation of about 3%. The unsupervised segmentation on real images shows us always reasonable object, which is important for future segmentation-based registration. (en)
Title
  • Fully automatic segmentation of stained histological cuts
  • Fully automatic segmentation of stained histological cuts (en)
skos:prefLabel
  • Fully automatic segmentation of stained histological cuts
  • Fully automatic segmentation of stained histological cuts (en)
skos:notation
  • RIV/68407700:21230/13:00211381!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/11/0111), S
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
  • 75854
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00211381
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Superpixel; segmentation; GMM; Graph Cut; superpixels; histological sections; stains. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [049D87FD934A]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • POSTER 2013 - 17th International Student Conference on Electrical Engineering
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
  • Borovec, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-05242-6
http://localhost/t...ganizacniJednotka
  • 21230
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