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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). This statistics is critical for appraisal of repeatability and reproducibility of designed algorithm.
  • 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). This statistics is critical for appraisal of repeatability and reproducibility of designed algorithm. (en)
Title
  • ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images
  • ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images (en)
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  • ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images
  • ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson´s dinase in ultrasound images (en)
skos:notation
  • RIV/47813059:19240/11:#0003725!RIV12-MSM-19240___
http://linked.open...avai/riv/aktivita
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  • S
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  • 227317
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  • RIV/47813059:19240/11:#0003725
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  • ROI; ultrasound; reproducibility; MATLAB; algorithms; image processing (en)
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  • [39B2948152C2]
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  • Puerto De La Cruz
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  • Španělsko
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  • Mathematical Models and Methods in Modern Science
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  • Novák, David
  • Soukup, Tomáš
  • Čermák, Petr
  • Blahuta, Jiří
  • Jakel, Milan
  • Večerek, Michal
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number of pages
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  • IEEEAM/Wseas Press
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  • 978-1-61804-055-8
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  • 19240
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