Introduction to Artificial Intelligence in Medical Imaging

This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic.

Programming Languages and Tools

The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging.

Traditional Machine Learning Techniques

The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks.

Radiomics Data Analysis

The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics.

Natural Language Processing

Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports.

Convolutional Neural Networks

Chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc.

Data Preprocessing and Future Perspectives

The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.

It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.