Medical imaging is increasingly at the base of many breakthroughs in biomedical sciences, becoming a fundamental enabling technology of biomedical scientific progress.
Medical Imaging 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.
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
Contents Overview- PART I Introductory topics
- PART II Image representation and processing
- PART III Medical image segmentation
- PART IV Medical image registration
- PART V Machine learning in medical image analysis
- PART VI Advanced topics in medical image analysis
- PART VII Large-scale databases
- PART VIII Evaluation in medical image analysis 24. Assessment of image computing methods
