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Convolutional Neural Networks for Medical Applications (Paperback, 1st ed. 2023) Loot Price: R1,484
Discovery Miles 14 840
Convolutional Neural Networks for Medical Applications (Paperback, 1st ed. 2023): Teik Toe Teoh

Convolutional Neural Networks for Medical Applications (Paperback, 1st ed. 2023)

Teik Toe Teoh

Series: SpringerBriefs in Computer Science

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Loot Price R1,484 Discovery Miles 14 840 | Repayment Terms: R139 pm x 12*

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Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs in Computer Science
Release date: March 2023
First published: 2023
Authors: Teik Toe Teoh
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 96
Edition: 1st ed. 2023
ISBN-13: 978-981-19-8813-4
Categories: Books > Medicine > General issues > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-19-8813-7
Barcode: 9789811988134

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