As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
“The book provides a current and thorough overview of some commonly used image segmentation algorithms for medical imaging. The overview of a wide selection of methods is helpful, and I also found it very convenient to see implementation details collected in one single volume. This makes the book a good reference book for both researchers in the field, and could also be helpful for software engineers in the medical industry implementing methods for medical practitioners.”
― Kristian Sandberg, Computational Solutions, Inc., Colorado, USA