Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.A pyramidal approach to the automatic segmentation of multiple sclerosis lesions in the brain MRI was proposed for ... Comparison of pre- versus post-contrast loads and of manual versus semi-automated threshold techniques for lesionanbsp;...
|Title||:||Advanced Algorithmic Approaches to Medical Image Segmentation|
|Author||:||S. Kamaledin Setarehdan, Sameer Singh|
|Publisher||:||Springer Science & Business Media - 2001-12-11|