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  • The authors report on the main objectives and evaluation methods within microscopic image processing as related to the layer of smooth muscle of the intestinal wall. The presented images were acquired to facilitate effective study of diverticulosis. The general aim of image processing is to determine the number of cell nuclei highlighted by a contrast agent. By enabling comparison of the numbers of cell nuclei established in healthy individuals and in patients suffering from diverticulosis, the entire corpus of rocessing-related operations will contribute to further development within the recognition and assessment of structural changes in intestinal tissue layers. Image processing can be realized using traditional fast methods, for example thresholding with the subsequent summation of segments. The disadvantages of these methods consist in their inability to recognize overlapping nuclei, nuclei areas disrupted by image artefacts, or tissue microstructures; this deficiency causes a considerable error
  • The authors report on the main objectives and evaluation methods within microscopic image processing as related to the layer of smooth muscle of the intestinal wall. The presented images were acquired to facilitate effective study of diverticulosis. The general aim of image processing is to determine the number of cell nuclei highlighted by a contrast agent. By enabling comparison of the numbers of cell nuclei established in healthy individuals and in patients suffering from diverticulosis, the entire corpus of rocessing-related operations will contribute to further development within the recognition and assessment of structural changes in intestinal tissue layers. Image processing can be realized using traditional fast methods, for example thresholding with the subsequent summation of segments. The disadvantages of these methods consist in their inability to recognize overlapping nuclei, nuclei areas disrupted by image artefacts, or tissue microstructures; this deficiency causes a considerable error (en)
Title
  • Methods for the Evaluation of Quality in Machine Processing of Biomedical Images
  • Methods for the Evaluation of Quality in Machine Processing of Biomedical Images (en)
skos:prefLabel
  • Methods for the Evaluation of Quality in Machine Processing of Biomedical Images
  • Methods for the Evaluation of Quality in Machine Processing of Biomedical Images (en)
skos:notation
  • RIV/00216305:26220/13:PU104224!RIV14-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 87632
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU104224
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • microscopic images, image processing, evaluation of errors, diverticulosis, smooth muscle layer (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A04EE91A0BD1]
http://linked.open...v/mistoKonaniAkce
  • Rome
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 36th International Conference on Telecommunications and Signal Processing
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
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http://linked.open...iv/tvurceVysledku
  • Burget, Radim
  • Mikulka, Jan
  • Říha, Kamil
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-1-4799-0403-7
http://localhost/t...ganizacniJednotka
  • 26220
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