Publisher: CRC Press
Year of Publication: 2016
Author(s) : Ayman El-Baz, Xiaoyi Jiang, Jasjit S. Suri
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.
• Covers 3D image analysis and segmentation extensively
• Contains material from world-class experts in image segmentation
• Highlights modality-specific algorithmic treatments, especially related to level sets
• Includes references to enhance further study