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portada X-ray Images Classifications Using Optimized Deep Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
80
Format
Paperback
Dimensions
22.9x15.2x0.5 cm
Weight
0.13 kg.
ISBN13
9786203202656

X-ray Images Classifications Using Optimized Deep Learning

Mahesh Jangid (Author) · Shubhajit Panda (Author) · Sandeep Chaurasia (Author) · LAP Lambert Academic Publishing · Paperback

X-ray Images Classifications Using Optimized Deep Learning - Jangid, Mahesh ; Panda, Shubhajit ; Chaurasia, Sandeep

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Synopsis "X-ray Images Classifications Using Optimized Deep Learning"

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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