Attributes | Values |
---|
rdf:type
| |
rdfs:seeAlso
| |
Description
| - The common carotid artery (CCA) is a source of important information that doctors can use to evaluate the patients health. The most often measured parameters are arterial stiffness, lumen diameter, wall thickness, and other parameters where variation with time is usually measured. Unfortunately, the manual measurement of dynamic parameters of the CCA is time consuming, and therefore, for practical reasons, the only alternative is automatic approach. The initial localization of artery is important and must precede the main measurement. This article describes a novel method for the localization of CCA in the transverse section of a B mode ultrasound image. The novel method was designed automatically by using the grammar-guided genetic programming (GGGP). The GGGP searches for the best possible combination of simple image processing tasks (independent building blocks). The best possible solution is represented with the highest detection precision. The method is tested on a validation database of CCA imag
- The common carotid artery (CCA) is a source of important information that doctors can use to evaluate the patients health. The most often measured parameters are arterial stiffness, lumen diameter, wall thickness, and other parameters where variation with time is usually measured. Unfortunately, the manual measurement of dynamic parameters of the CCA is time consuming, and therefore, for practical reasons, the only alternative is automatic approach. The initial localization of artery is important and must precede the main measurement. This article describes a novel method for the localization of CCA in the transverse section of a B mode ultrasound image. The novel method was designed automatically by using the grammar-guided genetic programming (GGGP). The GGGP searches for the best possible combination of simple image processing tasks (independent building blocks). The best possible solution is represented with the highest detection precision. The method is tested on a validation database of CCA imag (en)
|
Title
| - Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images
- Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images (en)
|
skos:prefLabel
| - Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images
- Automatically designed machine vision system for the localization of CCA transverse section in ultrasound images (en)
|
skos:notation
| - RIV/00216305:26220/13:PU100205!RIV15-MSM-26220___
|
http://linked.open...avai/riv/aktivita
| |
http://linked.open...avai/riv/aktivity
| - P(ED2.1.00/03.0072), P(ME10123), S
|
http://linked.open...iv/cisloPeriodika
| |
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
| |
http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/13:PU100205
|
http://linked.open...riv/jazykVysledku
| |
http://linked.open.../riv/klicovaSlova
| - Common carotid artery, Localization, Genetic programming, Machine vision system (en)
|
http://linked.open.../riv/klicoveSlovo
| |
http://linked.open...odStatuVydavatele
| |
http://linked.open...ontrolniKodProRIV
| |
http://linked.open...i/riv/nazevZdroje
| - COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
|
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...v/svazekPeriodika
| |
http://linked.open...iv/tvurceVysledku
| - Beneš, Radek
- Burget, Radim
- Karásek, Jan
- Říha, Kamil
|
http://linked.open...ain/vavai/riv/wos
| |
issn
| |
number of pages
| |
http://localhost/t...ganizacniJednotka
| |