About: The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis

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About: The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis 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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The aim of this paper is introducing of method to analyze defects in area substantia nigra in mescephalon to potential Parkinson´s disease diagnosis. We developed an application in MATLAB to classification. This method is based on thresholding and calculating an area of defects in elliptical ROI in appropriate area to compare descending tendency of area of defects and statistical analysis such as variance and standard deviation analysis to reproducibility of designed method. We work with set of ultrasound images in DICOM format or converted JPEG images. Results has been tested and verified with 600 samples. The aim of this paper is introducing of method to analyze defects in area substantia nigra in mescephalon to potential Parkinson´s disease diagnosis. We developed an application in MATLAB to classification. This method is based on thresholding and calculating an area of defects in elliptical ROI in appropriate area to compare descending tendency of area of defects and statistical analysis such as variance and standard deviation analysis to reproducibility of designed method. We work with set of ultrasound images in DICOM format or converted JPEG images. Results has been tested and verified with 600 samples. (en)
Title	The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis (en)
skos:prefLabel	The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis The ROI defect statistical analysis of substantia nigra to reproducibility of designed experimental algorithm for potential Parkinson´s disease diagnosis (en)
skos:notation	RIV/47813059:19240/11:#0003724!RIV12-MSM-19240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Čermák, Petr Novák, David Blahuta, Jiří Soukup, Tomáš
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	Slezská univerzita v Opavě / Filozoficko-přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	227370
http://linked.open...ai/riv/idVysledku	RIV/47813059:19240/11:#0003724
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ROI; ultrasound; reproducibility; MATLAB; algorithms; image processing (en)
http://linked.open.../riv/klicoveSlovo	ultrasound MATLAB image processing algorithms reproducibility ROI
http://linked.open...ontrolniKodProRIV	[302FED827FB6]
http://linked.open...v/mistoKonaniAkce	Catania, Itálie
http://linked.open...i/riv/nazevZdroje	Mathematical Methods and Techniques in Engineering
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Novák, David Soukup, Tomáš Čermák, Petr Blahuta, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-11-03 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEEAM/Wseas Press
https://schema.org/isbn	978-1-61804-046-6
http://localhost/t...ganizacniJednotka	19240

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