ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86081821" target="_blank" >RIV/61989100:27240/11:86081821 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19240/11:#0003725
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images
Original language description
This paper introduces our experimental software which has been developer in MATLAB for potential detection of patology to detection of Parkinson´s disease. The algorithm is based on thresholding of intensity images, using the elliptical ROI followed by computing of area in this ROI for each intensity. The second step is statistical analysis of these data such as ROC curve, variability and Cohen´s kappa coefficient. We used DICOM or converted images into JPEG of TCS (transcranial ultrasound images). Thisstatistics is critical for appraisal of repeatability and reproducibility of designed algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical Models and Methods in Modern Science
ISBN
978-1-61804-055-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
0-6
Publisher name
WSEAS Press
Place of publication
Puerto De La Cruz
Event location
Puerto De La Cruz, Tenerife
Event date
Dec 10, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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