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• W1567198722 abstract "This paper introduces our experimental software which has been developed in MATLAB for potential detection of pathology 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." @default.
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• W1567198722 date "2011-12-10" @default.
• W1567198722 modified "2023-09-24" @default.
• W1567198722 title "ROC and reproducibility analysis of designed algorithm for potential diagnosis of Parkinson's disease in ultrasound images" @default.
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