Pattern Recognition and Signal Analysis in Medical Imaging

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  • Engels
  • Paperback
  • 9780128101162
  • 19 augustus 2016
  • 466 pagina's
Alle productspecificaties

Samenvatting

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data.

Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine.

This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging.

  • New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition
  • New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI
  • Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
19 augustus 2016
Aantal pagina's
466
Illustraties
Nee

Betrokkenen

Hoofdauteur
Anke Meyer-Baese
Tweede Auteur
Volker J Schmid
Co Auteur
Volker J. Schmid
Hoofduitgeverij
Academic Press Inc

Overige kenmerken

Editie
2
Extra groot lettertype
Nee
Product breedte
191 mm
Product hoogte
3.20 cm
Product lengte
234 mm
Studieboek
Ja
Verpakking breedte
191 mm
Verpakking hoogte
235 mm
Verpakking lengte
234 mm
Verpakkingsgewicht
970 g

EAN

EAN
9780128101162
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