This workshop proceedings explores the application of mathematical techniques to the analysis of biomedical images. The collection presents research from the 2000 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, focusing on novel algorithms and theoretical advancements. It covers a range of topics critical to medical imaging, including segmentation, registration, and feature extraction, utilizing mathematical frameworks to enhance diagnostic accuracy and understanding.

The proceedings from the 2000 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis are likely to be of interest to researchers and practitioners in the fields of medical imaging, computer vision, and applied mathematics. The collection showcases the state-of-the-art in applying rigorous mathematical approaches to complex biomedical image data. The focus on foundational methods suggests a technical audience seeking to understand the underlying principles driving advancements in image analysis for healthcare.