Medical Image Analysis: A Comprehensive Guide

Written by renowned expert Alejandro Frangi, Medical Image Analysis is a self-contained reference that provides practical knowledge on medical image computing and analysis. This modern and practical textbook conveys a mix of fundamental methodological concepts within different medical domains, making it an authoritative resource for students, researchers, and professionals in the field.

Core Topics and Concepts

The book covers core representations and properties of digital images, as well as essential image enhancement techniques. It also delves into advanced image computing methods, including:

• Segmentation
• Registration
• Motion and shape analysis

In addition, the book explores the application of machine learning in medical image computing and its role in clinical and medical research.

Practical Approach and Tutorial-Based Sections

The textbook features tutorial-based sections that clearly explain key principles and their application to various medical domains. This practical approach enables readers to understand and apply medical image computing concepts to real-world problems.

Comprehensive Coverage and Software Tools

Medical Image Analysis presents a representative selection of topics to match a modern and relevant approach to medical image computing. The book also provides guidance on identifying alternative strategies and employing software tools to solve typical problems in medical image computing.

Published by Elsevier Science, this book is a valuable resource for anyone seeking to deepen their understanding of medical image analysis and computing.

Key Features:

• Authoritative description of key concepts and methods
• Tutorial-based sections for practical understanding
• Comprehensive coverage of medical image computing topics
• Relevant approach to match modern medical imaging practices

Language: English

ISBN: 9780128136577, 9780128136584