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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by LAP Lambert Academic Publishing 2012-03, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: Chiron Media, Wallingford, United Kingdom
Book
PF. Condition: New.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Medical image segmentation is challenging and requires more sophisticated algorithms. Medical images are obtained by several different modalities and each of them has certain characteristics. For this reason, there is a need for developing a method which works for any kind of medical images. Deformable model is one of the most popular method in medical segmentation that requires some features (such as an edge) to be present along the boundary of the object, and pull the deformable curve toward that feature. This methods may be sensitive to the starting position and may leak through the boundary of the object if the edge feature is not salient enough in certain regions in the image. On the other hand, level set method evolves a contour implicitly by manipulating a level set function .In this book, we implemented level set region-based method to segment several images from different modalities. Its performance is tested by comparing the segmented results with those obtained by manual segmentation.The method reached a good performance with an average accuracy 94%. 56 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Book Print on Demand
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical image segmentation is challenging and requires more sophisticated algorithms. Medical images are obtained by several different modalities and each of them has certain characteristics. For this reason, there is a need for developing a method which works for any kind of medical images. Deformable model is one of the most popular method in medical segmentation that requires some features (such as an edge) to be present along the boundary of the object, and pull the deformable curve toward that feature. This methods may be sensitive to the starting position and may leak through the boundary of the object if the edge feature is not salient enough in certain regions in the image. On the other hand, level set method evolves a contour implicitly by manipulating a level set function .In this book, we implemented level set region-based method to segment several images from different modalities. Its performance is tested by comparing the segmented results with those obtained by manual segmentation.The method reached a good performance with an average accuracy 94%.
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848442558ISBN 13: 9783848442553
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nugroho Agam AdityasEducation : Gunadarma University : Bachelor of Electrical Engineering, Cum Laude,College Scholar 2006-2010University of Burgundy : Masters of Computer Science, National Ministry of Education s Scholar 2010-2011. P.