Convolutional Neural Networks for Medical Applications

This book provides an in-depth exploration of Convolutional Neural Networks (CNNs) in medical applications,covering topics such as brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification, and diabetic retinopathy detection. It introduces readers to the fundamentals of deep learning and showcases effective techniques for improving the accuracy of CNNs, including data augmentation and image processing.

Format: Paperback / softback
Length: 96 pages
Publication date: 24 March 2023
Publisher: Springer Verlag, Singapore

Convolutional Neural Networks for Medical Applications is a comprehensive and cutting-edge book that delves into the realm of applying Convolutional Neural Networks (CNNs) to medical imagery. Authored by Dr. Teoh Teik Toe, a renowned expert in the field, this book offers a wealth of state-of-the-art knowledge and insights.

The book is divided into several chapters, each focusing on a specific application of CNNs in the medical domain. From brain tumor classification to pneumonia image classification, white blood cell classification, skin cancer classification, and diabetic retinopathy detection, the book covers a wide range of medical applications.

In each chapter, the author provides a detailed overview of the disease, its implications, and how CNNs can be used to address healthcare challenges. The book also explores various performance enhancement techniques, such as specific data augmentations and image processing techniques, that have been successfully employed to improve the accuracy of CNN models.

What sets this book apart is its accessibility to both common readers and research scholars. The author employs a clear and concise writing style, making complex concepts accessible to a broad audience. At the same time, the book offers in-depth explanations and references for those seeking to delve deeper into the technical aspects of CNNs and their applications in medicine.

Whether you are a healthcare professional, a researcher, or simply interested in the latest advancements in artificial intelligence and machine learning, Convolutional Neural Networks for Medical Applications is a must-read. It provides a comprehensive and up-to-date understanding of CNNs and their potential to revolutionize the field of medical imaging and diagnostics.

In conclusion, Convolutional Neural Networks for Medical Applications is a groundbreaking book that offers a wealth of knowledge and insights into the application of CNNs to medical imagery. Authored by a leading expert in the field, the book provides a comprehensive and accessible overview of the latest developments and techniques in this rapidly evolving area. With its emphasis on practicality and accessibility, this book is an invaluable resource for anyone interested in advancing the field of medical imaging and diagnostics.

Weight: 180g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811988134
Edition number: 1st ed. 2023