Prenatal diagnosis of fetal abnormities including measurement of Nuchal Translucency (NT) using ultra-sonography is widely practiced during early pregnancy. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. This book, therefore, proposes an automated detection and measurement method for NT thickness. Artificial neural network was trained to locate the preferable region that contains NT. Border detection of NT based on Dynamic Programming algorithm is utilized to find the optimal thickness of the windowed region. Risk calculation is developed referring to delta-NT via maternal age and NT thickness. The system is designed and implemented using C++ programming environment. This should be especially useful for students, lecturers or professional researchers in biomedical and image processing fields.
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Prenatal diagnosis of fetal abnormities including measurement of Nuchal Translucency (NT) using ultra-sonography is widely practiced during early pregnancy. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. This book, therefore, proposes an automated detection and measurement method for NT thickness. Artificial neural network was trained to locate the preferable region that contains NT. Border detection of NT based on Dynamic Programming algorithm is utilized to find the optimal thickness of the windowed region. Risk calculation is developed referring to delta-NT via maternal age and NT thickness. The system is designed and implemented using C++ programming environment. This should be especially useful for students, lecturers or professional researchers in biomedical and image processing fields.
Researcher and PhD Candidate at University Technology Malaysia. Since October 2010 he is guest PhD Candidate at BMTI, Technische Universität Ilmenau, Germany under DAAD-PhD Sandwich Program. He has more than 30 international publications and his research interests are ultrasound medical imaging, 3D reconstruction, visualization & medical computing.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prenatal diagnosis of fetal abnormities including measurement of Nuchal Translucency (NT) using ultra-sonography is widely practiced during early pregnancy. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. This book, therefore, proposes an automated detection and measurement method for NT thickness. Artificial neural network was trained to locate the preferable region that contains NT. Border detection of NT based on Dynamic Programming algorithm is utilized to find the optimal thickness of the windowed region. Risk calculation is developed referring to delta-NT via maternal age and NT thickness. The system is designed and implemented using C++ programming environment. This should be especially useful for students, lecturers or professional researchers in biomedical and image processing fields. 88 pp. Englisch. Bestandsnummer des Verkäufers 9783845432212
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khin Wee LaiResearcher and PhD Candidate at University Technology Malaysia. Since October 2010 he is guest PhD Candidate at BMTI, Technische Universitaet Ilmenau, Germany under DAAD-PhD Sandwich Program. He has more than 30 internatio. Bestandsnummer des Verkäufers 5482238
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Taschenbuch. Zustand: Neu. Neuware -Prenatal diagnosis of fetal abnormities including measurement of Nuchal Translucency (NT) using ultra-sonography is widely practiced during early pregnancy. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. This book, therefore, proposes an automated detection and measurement method for NT thickness. Artificial neural network was trained to locate the preferable region that contains NT. Border detection of NT based on Dynamic Programming algorithm is utilized to find the optimal thickness of the windowed region. Risk calculation is developed referring to delta-NT via maternal age and NT thickness. The system is designed and implemented using C++ programming environment. This should be especially useful for students, lecturers or professional researchers in biomedical and image processing fields.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Bestandsnummer des Verkäufers 9783845432212
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prenatal diagnosis of fetal abnormities including measurement of Nuchal Translucency (NT) using ultra-sonography is widely practiced during early pregnancy. The drawback of current NT measurement technique is restricted with inter and intra-observer variability and inconsistency of results. This book, therefore, proposes an automated detection and measurement method for NT thickness. Artificial neural network was trained to locate the preferable region that contains NT. Border detection of NT based on Dynamic Programming algorithm is utilized to find the optimal thickness of the windowed region. Risk calculation is developed referring to delta-NT via maternal age and NT thickness. The system is designed and implemented using C++ programming environment. This should be especially useful for students, lecturers or professional researchers in biomedical and image processing fields. Bestandsnummer des Verkäufers 9783845432212
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