Téléchargez le livre : Marginal Space Learning for Medical Image Analysis

Marginal Space Learning for Medical Image Analysis

Efficient Detection and Segmentation of Anatomical Structures de

,

Éditeur :

Springer


Paru le : 2014-04-16

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Description

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.
Pages
268 pages
Collection
n.c
Parution
2014-04-16
Marque
Springer
EAN papier
9781493905997
EAN EPUB
9781493906000
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
6554 Ko
Prix
52,74 €

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