Mastering Medical Image Analysis: A Comprehensive Guide

Medical Image Analysis, written by renowned experts Alejandro Frangi, Jerry Prince, and Milan Sonka, is a self-contained reference that provides practical knowledge on medical image computing and analysis. This modern, hands-on textbook presents a unique blend of fundamental methodological concepts, applicable to various medical domains.

Core Concepts and Image Enhancement Techniques

The book delves into the core representations and properties of digital images, as well as essential image enhancement techniques. These fundamental concepts lay the groundwork for advanced image computing methods, ensuring readers have a solid understanding of the principles and their applications.

Advanced Image Computing Methods

Discover the latest advancements in medical image computing, including:

• Segmentation: Identify and extract relevant information from medical images
• Registration: Align and combine multiple images for enhanced analysis
• Motion and Shape Analysis: Quantify and analyze changes in medical images over time

Machine Learning and Clinical Applications

Explore the role of machine learning in medical image computing and its applications in clinical and medical research. Learn how to identify alternative strategies and employ software tools to solve typical problems in medical image computing.

Tutorial-Based Learning and Real-World Applications

The text includes tutorial-based sections that clearly explain principles and their application to different medical domains, ensuring readers can apply their knowledge to real-world scenarios.

With its authoritative description of key concepts and methods, Medical Image Analysis is an indispensable resource for anyone seeking to master medical image computing.

Book Details:

Published by: Academic Press

Edition: 1st, released on October 13, 2023

Language: English

Pages: 698

ISBN-10: 012813657X

ISBN-13: 978-0128136577