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Compression of Biomedical Images and Signals
Nait-Ali
€ 189.15
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Description for Compression of Biomedical Images and Signals
Hardback. 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.
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.
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.
Product Details
Format
Hardback
Publication date
2008
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
288
Condition
New
Series
ISTE
Number of Pages
288
Place of Publication
London, United Kingdom
ISBN
9781848210288
SKU
V9781848210288
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Nait-Ali
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.
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