About: Evolutionary Improved Object Detector for Ultrasound Images

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Object detection in ultrasound images is difficult problem mainly because of relatively low signal–to–noise ratio. This paper deals with object detection in the noisy ultrasound images using modified version of Viola–Jones object detector. The method describes detection of carotid artery longitudinal section in ultrasound B–mode images. The detector is primarily trained by AdaBoost algorithm and uses a cascade of Haar–like features as a classifier. The main contribution of this paper is a method for detection of carotid artery longitudinal section. This method creates cascade of classifiers automatically using genetic algorithms. We also created post–processing method that marks position of artery in the image. The proposed method was released as open–source software. Resulting detector achieved accuracy 96.29%. When compared to SVM classification enlarged with RANSAC (RANdom SAmple Consensus) method that was used for detection of carotid artery longitudinal section, works our method rea Object detection in ultrasound images is difficult problem mainly because of relatively low signal–to–noise ratio. This paper deals with object detection in the noisy ultrasound images using modified version of Viola–Jones object detector. The method describes detection of carotid artery longitudinal section in ultrasound B–mode images. The detector is primarily trained by AdaBoost algorithm and uses a cascade of Haar–like features as a classifier. The main contribution of this paper is a method for detection of carotid artery longitudinal section. This method creates cascade of classifiers automatically using genetic algorithms. We also created post–processing method that marks position of artery in the image. The proposed method was released as open–source software. Resulting detector achieved accuracy 96.29%. When compared to SVM classification enlarged with RANSAC (RANdom SAmple Consensus) method that was used for detection of carotid artery longitudinal section, works our method rea (en)
Title	Evolutionary Improved Object Detector for Ultrasound Images Evolutionary Improved Object Detector for Ultrasound Images (en)
skos:prefLabel	Evolutionary Improved Object Detector for Ultrasound Images Evolutionary Improved Object Detector for Ultrasound Images (en)
skos:notation	RIV/00216305:26220/13:PU104508!RIV14-MPO-26220___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a komunikačních technologií
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI4/151), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Karásek, Jan Burget, Radim Mašek, Jan Uher, Václav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	73822
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104508
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	carotid artery, genetic algorithms, ultrasound, object detection, Viola–Jones detector. (en)
http://linked.open.../riv/klicoveSlovo	ultrasound genetic algorithms Viola–Jones detector. object detection carotid artery
http://linked.open...ontrolniKodProRIV	[E45A30340BC5]
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	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Burget, Radim Karásek, Jan Mašek, Jan Uher, Václav Güney, Selda
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-02 (xsd:date)
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/TSP.2013.6614002
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4799-0402-0
http://localhost/t...ganizacniJednotka	26220

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