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Herausgeber: 
  • Antonio Criminisi
  • Bjoern Menze
  • Georg Langs
  • Zhuowen Tu
  • Le Lu
  • Albert Montillo
  • Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, Oc 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2013  
    Genre:  EDV / Informatik 
     
    Application software / Applied computing / Automated Pattern Recognition / C / Computer and Information Systems Applications / Computer Applications / computer science / Computer Vision
    ISBN:  9783642366192 
    EAN-Code: 
    9783642366192 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Image Processing, Computer Vision, Pattern Recognition, and Graphics
    #7766 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  4686 gr 
    Seiten:  294 
    Illustration:  XI, 294 p. 136 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 thoroughly refereed workshop proceedings of the Second International Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012.
    The 24 papers have been selected out of 42 submissions. At MCV 2012, 12 papers were presented as a poster and 12 as a poster together with a plenary talk. The book also features four selected papers which were presented at the previous CVPR Medical Computer Vision workshop held in conjunction with the International Conference on Computer Vision and Pattern Recognition on June 21 2012 in Providence, Rhode Island, USA. The papers explore the use of modern computer vision technology in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies, as well as 3D reconstruction and biophysical model personalization.
      



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