Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures - Couverture rigide

Zheng, Yefeng; Comaniciu, Dorin

Couverture rigide

ISBN 10 : 1493905996 ISBN 13 : 9781493905997

Editeur : Springer-Verlag New York Inc., 2014

Synopsis

Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2014
• Langue: anglais
• ISBN 10: 1493905996
• ISBN 13: 9781493905997
• Reliure: Relié
• Nombre de pages: 268
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne