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Autor(en): 
  • R. Suganya
  • A. Sheik Abdullah
  • Rajaram S.
  • Big Data in Medical Image Processing 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    advanced disease diagnosis systems / automated decision support / biomedical data mining / Biomedical engineering / biotechnology / cancer detection methods / CBIR / CBIR System
    ISBN:  9781138557246 
    EAN-Code: 
    9781138557246 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D 21 mm 
    Gewicht:  494 gr 
    Seiten:  210 
    Illustration:  schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The field of medical imaging seen rapid development over the last two decades and has consequently revolutionized the way in which modern medicine is practiced. Diseases and their symptoms are constantly changing therefore continuous updating is necessary for the data to be relevant. Diseases fall into different categories, even a small difference in symptoms may result in categorising it in a different group altogether. Thus analysing data accurately is of critical importance. This book concentrates on diagnosing diseases like cancer or tumor from different modalities of images. This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration, feature extraction, classification and retrieval. It is further supplemented by the medical analyst for a continuous treatment process. The book provides an automated system that could retrieve images based on user's interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.

      



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