About: Biomedical Image Analysis using Self-Organizing Maps     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The implementation of self organizing map (SOM) and its application to the analysis of biomedical images are presented. The SOM algorithm was implemented in MATLAB program suite with various optional parameters enabling the adjustment of the model according to the user's requirements. For easier application of SOM the graphical user interface has been developed. The segmentation and edge detection procedures are critical steps in the analysis of biomedical images, enabling for instance the detection of the abnormal structure or the recognition of di erent types of tissue. The self-organizing map provides a quick and easy approach for these tasks with satisfying quality of outputs, which has been verified using the high-resolution CT images capturing the expressions of the Granulo matosis with polyangiitis (GPA) disease.
  • The implementation of self organizing map (SOM) and its application to the analysis of biomedical images are presented. The SOM algorithm was implemented in MATLAB program suite with various optional parameters enabling the adjustment of the model according to the user's requirements. For easier application of SOM the graphical user interface has been developed. The segmentation and edge detection procedures are critical steps in the analysis of biomedical images, enabling for instance the detection of the abnormal structure or the recognition of di erent types of tissue. The self-organizing map provides a quick and easy approach for these tasks with satisfying quality of outputs, which has been verified using the high-resolution CT images capturing the expressions of the Granulo matosis with polyangiitis (GPA) disease. (en)
Title
  • Biomedical Image Analysis using Self-Organizing Maps
  • Biomedical Image Analysis using Self-Organizing Maps (en)
skos:prefLabel
  • Biomedical Image Analysis using Self-Organizing Maps
  • Biomedical Image Analysis using Self-Organizing Maps (en)
skos:notation
  • RIV/60461373:22340/12:43893441!RIV13-MSM-22340___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 125146
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/12:43893441
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Wegener's granulimatosis; biomedical image processing; SOM (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [412066F5078C]
http://linked.open...v/mistoKonaniAkce
  • Bratislava
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • 20th Annual Conference Proceedings Technical Computing Bratislava 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvořák, Petr
  • Mareš, Jan
  • Procházka, Aleš
  • Grajciarová, Lucie
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • RT Systems
https://schema.org/isbn
  • 978-80-970519-4-5
http://localhost/t...ganizacniJednotka
  • 22340
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software