Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades.
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Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades.
He received his Ph.D. in the area of Medical Image Processing in Indian Institute of Technology Guwahati. His research interests include almost all aspects of Cardiac MRI with a special emphasis on image segmentation. Currently he is working as R&D Executive in Qatar Robotic Surgery Centre, Qatar Sc. & Tech. Park, Qatar Foundation.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dakua Sarada PrasadHe received his Ph.D. in the area of Medical Image Processing in Indian Institute of Technology Guwahati. His research interests include almost all aspects of Cardiac MRI with a special emphasis on image segmentati. N° de réf. du vendeur 5471625
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades. N° de réf. du vendeur 9783844311556
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Taschenbuch. Etat : Neu. Left Ventricular Wall Detection from MRI Scans using Random Walk | An Open Challenge | Sarada Prasad Dakua (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783844311556 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106381479
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