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  • This paper shows how to classify the medical ultrasound intracranial images by using PCA method. The main goal is a classification of ROI substantia nigra in midbrain. The classification of images is useful to detection Parkinson´s disease (PD). Work is based on image processing and is realized with the help of artificial neural networks which has been simulated in NeuroSolutions 6 software environment. We have selected a PCA method for processing. This method is well applicable in NeuroSolutions
  • This paper shows how to classify the medical ultrasound intracranial images by using PCA method. The main goal is a classification of ROI substantia nigra in midbrain. The classification of images is useful to detection Parkinson´s disease (PD). Work is based on image processing and is realized with the help of artificial neural networks which has been simulated in NeuroSolutions 6 software environment. We have selected a PCA method for processing. This method is well applicable in NeuroSolutions (en)
Title
  • The image recognition of brain-stem ultrasound images with using a neural network based on PCA
  • The image recognition of brain-stem ultrasound images with using a neural network based on PCA (en)
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  • The image recognition of brain-stem ultrasound images with using a neural network based on PCA
  • The image recognition of brain-stem ultrasound images with using a neural network based on PCA (en)
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  • RIV/47813059:19240/11:#0003721!RIV12-MSM-19240___
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  • 203549
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  • RIV/47813059:19240/11:#0003721
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  • Ultrasound images; PCA; Neural Networks (en)
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  • [265BEF691769]
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  • Playa Meloneras
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  • Španělsko
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  • Recent Researches in Communications, Electrical and Computer Engineering
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  • Soukup, Tomáš
  • Čermák, Petr
  • Blahuta, Jiří
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  • Wseas Press
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  • 978-960-474-286-8
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  • 19240
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