Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC.
- Provides an authoritative description of key concepts and methods
- Includes tutorial-based sections that clearly explain principles and their application to different medical domains
- Presents a representative selection of topics to match a modern and relevant approach to medical image computing
