Medical imaging is increasingly at the base of many breakthroughs in biomedical sciences, becoming a fundamental enabling technology of biomedical scientific progress. Medical Image Analysis presents practical knowledge on medical image computing and analysis and is written by top educators and experts in the field. This text is a modern, practical, broad, and self-contained reference that conveys a mix of essential methodological concepts within different medical domains, reflecting the nature of the discipline today, making it suitable as a course text and a self-learning resource. Key Features: • An authoritative presentation of key concepts and methods from experts in the field • Sections clearly explaining key methodological principles within relevant medical applications • Self-contained chapters enable the text to be used on courses with differing structures • A representative selection of modern topics and techniques in medical image computing • Focus on medical image computing as an enabling technology to tackle unmet clinical needs • Presentation of traditional and machine learning approaches to medical image computing This book provides a thorough background on techniques used in medical image analysis for graduate students and biomedical engineers from industry and academia with basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find methods and software tools for analyzing medical images.

To purchase the full book check out https://shop.elsevier.com/books/medical-image-analysis/frangi/978-0-12-813657-7