During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information.
As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images.
Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Amine Naït-Ali is an Associate Professor at the University Paris 12 (France), and a member of the Laboratory LISSI. His research interests are focused on physiological signal processing and analysis, optimisation using metaheuristics, none linear system modeling, biosignal and medical image compression.
Dr. Christine Cavaro-Ménard is an Associate Professor at the University of Angers (France), and a member of the Laboratory LISA. Her research interests include medical image processing (segmentation, classification, texture analysis, registration) for diagnosis assistance, medical image compression and quality evaluation of compressed medical images.
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 : Gut. Zustand: Gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest. N° de réf. du vendeur 4210246/3
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Hardcover. Etat : new. Hardcover. During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest. This book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static, and dynamic volumetric images. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781848210288
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Etat : New. This book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static, and dynamic volumetric images. Editor(s): Nait-Ali, Amine; Cavaro-Menard, Christine. Series: ISTE. Num Pages: 288 pages, Illustrations. BIC Classification: MMP; TT; UYT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 164 x 23. Weight in Grams: 630. . 2008. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9781848210288
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