Multispectral imagery in prostate cancer pathology has progressed greatly in the last 5 years. Unlike conventional RGB colour space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem along with increase in execution time. This book investigates novel classification algorithms for prostate cancer classification using multispectral images and the suitability of reconfigurable computing to speedup medical image classification problems.
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Dr Muhammad Atif Tahir received his PhD degree from Queen University, Belfast, UK. He is currently working as Senior Researcher at University of Northumbria, UK. He has authored more than 35 publications in quality Journals and International Conferences. His current research activities include pattern recognition, and evolutionary heuristics.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multispectral imagery in prostate cancer pathology has progressed greatly in the last 5 years. Unlike conventional RGB colour space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem along with increase in execution time. This book investigates novel classification algorithms for prostate cancer classification using multispectral images and the suitability of reconfigurable computing to speedup medical image classification problems. 184 pp. Englisch. N° de réf. du vendeur 9783843379229
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tahir Muhammad AtifDr Muhammad Atif Tahir received his PhD degree from Queen University, Belfast, UK. He is currently working as Senior Researcher at University of Northumbria, UK. He has authored more than 35 publications in qual. N° de réf. du vendeur 5467785
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Taschenbuch. Etat : Neu. Prostate Cancer Classification using Multispectral Images | Novel Hardware and Software approaches for prostate cancer classification using Multispectral Images | Muhammad Atif Tahir | Taschenbuch | 184 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843379229 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107168663
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multispectral imagery in prostate cancer pathology has progressed greatly in the last 5 years. Unlike conventional RGB colour space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem along with increase in execution time. This book investigates novel classification algorithms for prostate cancer classification using multispectral images and the suitability of reconfigurable computing to speedup medical image classification problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783843379229
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multispectral imagery in prostate cancer pathology has progressed greatly in the last 5 years. Unlike conventional RGB colour space, multispectral images allow the acquisition of a large number of spectral bands within the visible spectrum, resulting in a large feature vector size. For such a high dimensionality, pattern recognition techniques suffer from the well-known curse of dimensionality problem along with increase in execution time. This book investigates novel classification algorithms for prostate cancer classification using multispectral images and the suitability of reconfigurable computing to speedup medical image classification problems. N° de réf. du vendeur 9783843379229
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