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Herausgeber: 
  • Shuo Li
  • Jianhua Yao
  • Ben Glocker
  • Guoyan Zheng
  • Alejandro Frangi
  • Tomaž Vrtovec
  • Computational Methods and Clinical Applications for Spine Imaging: 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2017  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithmen und Datenstrukturen / Algorithms / Algorithms & data structures / Artificial Intelligence / Automated Pattern Recognition / C / Computer Graphics
    ISBN:  9783319550497 
    EAN-Code: 
    9783319550497 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Image Processing, Computer Vision, Pattern Recognition, and Graphics
    #10182 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  2526 gr 
    Seiten:  147 
    Illustration:  X, 147 p. 60 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the refereed proceedings of the 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.


    The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.

      



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