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Statements

Subject Item
n2:RIV%2F47813059%3A19240%2F11%3A%230003724%21RIV12-MSM-19240___
rdf:type
n12:Vysledek skos:Concept
dcterms: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.
dcterms: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
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
skos:notation
RIV/47813059:19240/11:#0003724!RIV12-MSM-19240___
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n16:orjk%3A19240
n3:aktivita
n4:S
n3:aktivity
S
n3:dodaniDat
n6:2012
n3:domaciTvurceVysledku
n8:8712549 n8:3292134 n8:3324397 n8:8669473
n3:druhVysledku
n13:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
227370
n3:idVysledku
RIV/47813059:19240/11:#0003724
n3:jazykVysledku
n14:eng
n3:klicovaSlova
ROI; ultrasound; reproducibility; MATLAB; algorithms; image processing
n3:klicoveSlovo
n9:MATLAB n9:algorithms n9:reproducibility n9:image%20processing n9:ultrasound n9:ROI
n3:kontrolniKodProRIV
[302FED827FB6]
n3:mistoKonaniAkce
Catania, Itálie
n3:nazevZdroje
Mathematical Methods and Techniques in Engineering
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n6:2011
n3:tvurceVysledku
Novák, David Blahuta, Jiří Čermák, Petr Soukup, Tomáš
n3:typAkce
n20:WRD
n3:zahajeniAkce
2011-11-03+01:00
s:numberOfPages
6
n7:hasPublisher
IEEEAM/Wseas Press
n19:isbn
978-1-61804-046-6
n21:organizacniJednotka
19240