Overview
- Covers various use cases of Convolutional Neural Networks on medical images
- Unique data augmentations and image processing techniques for medical imagery
- Classified diseases are provided with detailed background and medical information
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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About this book
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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Keywords
Table of contents (6 chapters)
Authors and Affiliations
About the author
Dr Teoh has been an experienced researcher in Big Data, Deep Learning, Cyber-security, Artificial Intelligence, Machine Learning and Software Development for more than 25 years. His works have been published in more than 50 journals, conferences, books and book chapters. His qualifications include a PhD in Computer Engineering from NTU, Doctor of Business Administration from University of NewCastle, Master of Law from NUS, LLB and LLM from UoL, CFA, ACCA and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistics, finance, accounting and law and is highly passionate about the use of deep learning to improve lives.
Bibliographic Information
Book Title: Convolutional Neural Networks for Medical Applications
Authors: Teik Toe Teoh
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-981-19-8814-1
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Softcover ISBN: 978-981-19-8813-4Published: 24 March 2023
eBook ISBN: 978-981-19-8814-1Published: 23 March 2023
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XI, 96
Number of Illustrations: 1 b/w illustrations
Topics: Image Processing and Computer Vision, Medicine/Public Health, general, Artificial Intelligence, Machine Learning, Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing