Advanced Algorithmic Approaches to Medical Image Segmentation (eBook, PDF)

State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology
Redaktion: Kamaledin Setarehdan, S.; Singh, Sameer

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 636
• Erscheinungstermin: 7. September 2012
• Englisch
• ISBN-13: 9780857293336
• Artikelnr.: 44178193

Inhaltsangabe

From the contents:
Principles of Image Generation
- Segmentation in Echocardiographic Images
- Cardiac Boundary Segmentation
- Brain Segmentation Techniques
- Segmentation for Multiple Sclerosis Lesion
- Finite Mixture Models
- MR Spectroscopy
- Fast WM/GM Boundary Estimation
- Digital Mammography Segmentation
- Cell Image Segmentation for Diagnostic Pathology
- Future in Segmentation
- Bibliography
- Index