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Description
  • Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured.
  • Although segmentation of biomedical image data has been paid a lot of attention for many years, this crucial task still meets the problem of the correctness of the obtained results. Especially in the case of optical microscopy, the ground truth (GT), which is a very important tool for the validation of image processing algorithms, is not available. We have developed a toolkit that generates fully 3D digital phantoms, that represent the structure of the studied biological objects. While former papers concentrated on the modelling of isolated cells (such as blood cells), this work focuses on a representative of tissue image type, namely human colon tissue. This phantom image can be submitted to the engine that simulates the image acquisition process. Such synthetic image can be further processed, e.g. deconvolved or segmented. The results can be compared with the GT derived from the digital phantom and the quality of the applied algorithm can be measured. (en)
Title
  • Generation of 3D Digital Phantoms of Colon Tissue
  • Generation of 3D Digital Phantoms of Colon Tissue (en)
skos:prefLabel
  • Generation of 3D Digital Phantoms of Colon Tissue
  • Generation of 3D Digital Phantoms of Colon Tissue (en)
skos:notation
  • RIV/00216224:14330/11:00067276!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2B06052), P(LC535)
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
  • 200948
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00067276
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Digital phantom; Colon tissue; Simulation; Haralick texture features (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FD7F93812F5B]
http://linked.open...v/mistoKonaniAkce
  • Burnaby, BC, Canada
http://linked.open...i/riv/mistoVydani
  • Berlin, Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 8th International Conference on Image Analysis and Recognition
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
  • Svoboda, David
  • Homola, Ondřej
  • Stejskal, Stanislav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000300562000004
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-21596-4_4
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 9783642215957
http://localhost/t...ganizacniJednotka
  • 14330
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