Machine Learning and Deep Learning Techniques for Medical Image Recognition

Machine Learning and Deep Learning Techniques for Medical Image Recognition is a comprehensive book that reviews deep learning-based algorithms in medical image analysis, focusing on semantic object detection and segmentation. It covers various application areas and includes practical examples and case studies. The book is aimed at researchers and graduate students in computer engineering, artificial intelligence, and biomedical imaging.

Format: Hardback
Length: 258 pages
Publication date: 01 December 2023
Publisher: Taylor & Francis Ltd

Machine Learning and Deep Learning Techniques for Medical Image Recognition is a comprehensive guide that delves into the realm of medical image analysis, focusing on the application of deep learning-based algorithms. It provides a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. The book emphasizes the use of convolutional neural networks (CNNs) with various techniques for semantic segmentation in medical imaging, supported by practical examples.

One of the key features of this book is its emphasis on the development and implementation of machine learning and deep learning approaches for developing prediction tools and models and improving medical diagnosis. It teaches readers how these algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology. The book also covers common research problems in medical image analysis and their challenges, providing insights into the latest advancements and solutions.

A particular focus of the book is on the aspects of deep learning and machine learning for combating COVID-19. It includes pertinent case studies and discusses the role of these techniques in diagnosing and analyzing COVID-19-related medical images. This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging. It offers valuable insights and techniques for those interested in advancing the field of medical image analysis and developing innovative solutions for healthcare.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032416168