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Herausgeber: 
  • Martin Kampel
  • Emma Robinson
  • Antonios Makropoulos
  • Andrew Melbourne
  • Pim Moeskops
  • Ernst Schwartz
  • Roxane Licandro
  • Matthew DiFranco
  • Paolo Rota
  • Melanie Gau
  • Rosalind Aughwane
  • Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis: First International Workshop, DATRA 2018 and Third In 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  September 2018  
    Genre:  EDV / Informatik 
     
    Algorithms & data structures / Arithmetic and Logic Structures / Arithmetic and logic units, Computer / Artificial Intelligence / C / Computer architecture & logic design / computer science / Computer Vision / Health & safety aspects of IT / Health Informatics / Image processing / Image Processing and Computer Vision / Optical data processing
    ISBN:  9783030008062 
    EAN-Code: 
    9783030008062 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Image Processing, Computer Vision, Pattern Recognition, and Graphics
    #11076 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 11 mm 
    Gewicht:  300 gr 
    Seiten:  192 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.
    The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. 
    The DATRA  papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback.
    The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infantand paediatric period.

      



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