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.
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