Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume II - Couverture souple
Synopsis
With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The focus of this book is towards the state-of-the-art techniques in the area of image segmentation and registration.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Ayman S. El-Baz is currently assistant professor of Bioengineering in the Department of Bioengineering at the University of Louisville (UofL). He is an expert in the fields of bioimaging modeling and computer assisted diagnosis systems. Dr. El-Baz received his Doctorate from University of Kentucky, Louisville, KY.
Rajendra Acharya U, PhD, DEng is leader in the field of data mining and medical devices. He received two doctorates: one from National Institute of Technology Karnataka, Surathkal, India and second from Chiba University, Japan. He is a Senior IEEE member and on the editorial board of several journals. Currently, he is visiting faculty at Ngee Ann Polytechnic, Singapore.
Andrew Laine is a Director of the Heffner Biomedical Imaging Laboratory in the Department of Biomedical Engineering at Columbia University in New York City and is Professor of Biomedical Engineering and Radiology (Physics). His research interests include quantitative image analysis; cardiac functional imaging: ultrasound and MRI, retinal imaging, intravascular imaging and biosignal processing. He is a Fellow of AIMBE and IEEE.
Dr. Jasjit S. Suri is an innovator, scientist, a visionary, an industrialist and an internationally known world leader in Biomedical Engineering. Dr. Suri has spent over 20 years in the field of biomedical engineering/devices and its management. He received his Doctorate from University of Washington, Seattle and Business Management Sciences from Weatherhead, Case Western Reserve University, Cleveland, Ohio.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Multi Modality State-of-the-Art Medical (eng)
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
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Springer New York, 2016
ISBN 10 : 1493941623
ISBN 13 : 9781493941629
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Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Combining Registration and Segmentation TechniquesSegmentation Application to Prosthesis Design and BrainRole of Segmentation in Autistic and Normal BrainsOcular Thermo graphic Sequence Analysis3D Ultrasound Image Segmentation. N° de réf. du vendeur 458514854
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
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ISBN 10 : 1493941623
ISBN 13 : 9781493941629
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration. 380 pp. Englisch. N° de réf. du vendeur 9781493941629
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies | Volume II
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Taschenbuch. Etat : Neu. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies | Volume II | Ayman S. El-Baz (u. a.) | Taschenbuch | x | Englisch | 2016 | Humana | EAN 9781493941629 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 109982962
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
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ISBN 10 : 1493941623
ISBN 13 : 9781493941629
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Taschenbuch. Etat : Neu. Neuware -With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch. N° de réf. du vendeur 9781493941629
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies : Volume II
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Springer New York, Springer US, 2016
ISBN 10 : 1493941623
ISBN 13 : 9781493941629
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration. N° de réf. du vendeur 9781493941629
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Multi Modality State-of-the-art Medical Image Segmentation and Registration Methodologies: Volume II: Vol 2
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Paperback. Etat : Brand New. reprint edition. 368 pages. 9.25x6.10x0.86 inches. In Stock. N° de réf. du vendeur zk1493941623
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