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  • This paper is about recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis. As input we have a collection of sonographical slices which were preprocessed and optimized and we must detect a ROI substantia nigra. Furthermore shows a principle of PCA and practical implementation with results and contains a comparison of results from different software. The main goal is a classification of these images and recognition results. This processing is important for detection of Parkinson´s disease, reflected well recognition of ROI substantia nigra. We got an output as selected principal components and we assessed a threshold for classification. Core implementation were realized in C# optimized application and computed in another existing software. We used cropped images contains ROI and we optimized PCA algorithm to effective computing.
  • This paper is about recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis. As input we have a collection of sonographical slices which were preprocessed and optimized and we must detect a ROI substantia nigra. Furthermore shows a principle of PCA and practical implementation with results and contains a comparison of results from different software. The main goal is a classification of these images and recognition results. This processing is important for detection of Parkinson´s disease, reflected well recognition of ROI substantia nigra. We got an output as selected principal components and we assessed a threshold for classification. Core implementation were realized in C# optimized application and computed in another existing software. We used cropped images contains ROI and we optimized PCA algorithm to effective computing. (en)
Title
  • The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis
  • The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis (en)
skos:prefLabel
  • The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis
  • The recognition of substantia nigra of brain stem ultrasound images based on Principal Component Analysis (en)
skos:notation
  • RIV/47813059:19240/10:#0003054!RIV11-MSM-19240___
http://linked.open...avai/riv/aktivita
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  • S
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  • 284198
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  • RIV/47813059:19240/10:#0003054
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  • PCA; ultrasound; image; eigenspace; covariance (en)
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  • [8E03BE928161]
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  • Španělsko
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  • Španělsko
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  • Mathematical Models for Engineering Science
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  • Soukup, Tomáš
  • Čermák, Petr
  • Blahuta, Jiří
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http://linked.open.../riv/zahajeniAkce
issn
  • 1792-6734
number of pages
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  • Wseas Press
https://schema.org/isbn
  • 978-960-474-252-3
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  • 19240
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