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Deep Learning
Paperback

Deep Learning

$104.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Classify pneumonia by processing the image of chest X-ray using diverse deep learning algorithms. The Normal X-ray depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia typically exhibits a focal lobar consolidation whereas viral pneumonia manifests with a more diffuse interstitial pattern in both lungs. If there is pneumonia it will be classified into viral or bacterial. Convoluted neural networks are used to classify where each neuron is tightly connected to other neurons.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
27 April 2020
Pages
60
ISBN
9786200540232

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Classify pneumonia by processing the image of chest X-ray using diverse deep learning algorithms. The Normal X-ray depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia typically exhibits a focal lobar consolidation whereas viral pneumonia manifests with a more diffuse interstitial pattern in both lungs. If there is pneumonia it will be classified into viral or bacterial. Convoluted neural networks are used to classify where each neuron is tightly connected to other neurons.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
27 April 2020
Pages
60
ISBN
9786200540232