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Automated Tool for Sinus Region Extraction in Medical Images
Details
This book creates understanding of edge detection techniques, shows surveys of image segmentation techniques and creates a general understanding of neural network application to medical images and medical diagnosis and finally the development of a novel approach to the extraction region of interest of the sinus area in CT images to aid the diagnosis of abnormalities in the image which would be important in Cancer diagnosis and also would be useful in training junior doctors.
Autorentext
Graduate of Manchester Metropolitan University, Manchester United kingdom,in Electrical Electronics Engineering, (Masters by Research)Graduate Member Institution of Engineering and Technology(MIET) and Currently a Doctoral Researcher at the Center for Radio Access Technology, University of KwaZulu-Natal, Durban South Africa.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659249235
- Sprache Englisch
- Größe H220mm x B150mm x T6mm
- Jahr 2014
- EAN 9783659249235
- Format Kartonierter Einband
- ISBN 3659249238
- Veröffentlichung 12.06.2014
- Titel Automated Tool for Sinus Region Extraction in Medical Images
- Autor Ireyuwa Igbinosa
- Gewicht 149g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 88
- Genre Wirtschaft