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

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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, ...

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures 2016, Springer

ISBN-13: 9781493955756

Softcover Reprint of the Origi edition

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Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures 2014, Springer-Verlag New York Inc., New York

ISBN-13: 9781493905997

2014 edition

Hardcover

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