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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 23,00 per la spedizione da Germania a U.S.A.
Destinazione, tempi e costiDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845432212
Quantità: 2 disponibili
Da: moluna, Greven, Germania
Condizione: 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. Codice articolo 5482238
Quantità: Più di 20 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845432212
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845432212
Quantità: 1 disponibili