About: Standardized evaluation methodology and reference database for evaluating IVUS image segmentation     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
rdfs:seeAlso
Description
  • This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved.
  • This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved. (en)
Title
  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation (en)
skos:prefLabel
  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation (en)
skos:notation
  • RIV/00216208:11110/14:10283399!RIV15-MSM-11110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 47045
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11110/14:10283399
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Image segmentation; Algorithm comparison; Evaluation framework; IVUS (intravascular ultrasound) (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [800B1FFF43DB]
http://linked.open...i/riv/nazevZdroje
  • Computerized Medical Imaging and Graphics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 38
http://linked.open...iv/tvurceVysledku
  • Kovárník, Tomáš
  • Wahle, Andreas
  • Downe, Richard W.
  • Aksoy, Timur
  • Alberti, Marina
  • Balocco, Simone
  • Carillo, Xavier
  • Carlier, Stephane
  • Chen, Hsiang-Chou
  • Ciompi, Francesco
  • Cloutier, Guy
  • Destrempes, Francois
  • Exarchos, Themis P.
  • Fotiadis, Dimitrios I.
  • Gatta, Carlo
  • Kakadiaris, Ioannis A.
  • Mauri, Josepa
  • Mendizabal-Ruiz, E. Gerardo
  • Pujol, Oriol
  • Radeva, Petia
  • Rivera, Mariano
  • Sanidas, Elias
  • Unal, Gozde
  • Wang, Ching-Wei
http://linked.open...ain/vavai/riv/wos
  • 000331860100002
issn
  • 0895-6111
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.compmedimag.2013.07.001
http://localhost/t...ganizacniJednotka
  • 11110
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