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Autor(en): 
  • Mahesh Jangid
  • Sandeep Chaurasia
  • Shubhajit Panda
  • X-ray Images Classifications Using Optimized Deep Learning 
     

    (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:  Januar 2021  
    Genre:  EDV / Informatik 
    ISBN:  9786203202656 
    EAN-Code: 
    9786203202656 
    Verlag:  LAP Lambert Academic Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 220 mm / B 150 mm / D 6 mm 
    Gewicht:  137 gr 
    Seiten:  80 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Deep Convolutional Neural Networks or simply Convolutional Neural Networks (CNN) have recently become one of the most powerful and expressive learning models for Image Pattern Recognition, Medical Image Processing, Computer Vision, Handwritten/ Optical Character Recognition, etc. that are well-versed in performing the Classification tasks, both Binary as well as Categorical in an efficient and simple manner. Besides its wide use in various fields and domains these days, it has gained high popularity and recognition in the area of Medical Science as various Medical reports these days are highly reliable on the Deep Learning based Image recognition. In this book, we trained a Deep Structured Neural Network Model, which is basically a CNN Model over a large set of X-RAY Images Dataset called MURA (Musculoskeletal Radiographs Abnormality) and tried to predict the Abnormalities of a Radiographic Image (whether an Image is Normal or Abnormal) based on Binary classifications.

      



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