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Ultrasound Marker Assessment for Nuchal Translucency: Trisomy 21 Early Detection and its application in C++ Programming - Couverture souple
Synopsis
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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Présentation de l'éditeur
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.
Biographie de l'auteur
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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Ultrasound Marker Assessment for Nuchal Translucency
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3845432217
ISBN 13 : 9783845432212
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 5482238
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Ultrasound Marker Assessment for Nuchal Translucency : Trisomy 21 Early Detection and its application in C++ Programming
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3845432217
ISBN 13 : 9783845432212
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845432212
Quantité disponible : 1 disponible(s)
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Ultrasound Marker Assessment for Nuchal Translucency
Edité par
LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10 : 3845432217
ISBN 13 : 9783845432212
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845432212
Quantité disponible : 2 disponible(s)
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Ultrasound Marker Assessment for Nuchal Translucency
Edité par
LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10 : 3845432217
ISBN 13 : 9783845432212
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845432212
Quantité disponible : 2 disponible(s)