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Convolutional Neural Networks for Medical Applications (Paperback, 1st ed. 2023)
Loot Price: R1,484
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Convolutional Neural Networks for Medical Applications (Paperback, 1st ed. 2023)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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.
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