175 years of Springer publishing +++ Through June 30: 50% off Physics & Astronomy Books

Marginal Space Learning for Medical Image Analysis

Efficient Detection and Segmentation of Anatomical Structures

Authors: Zheng, Yefeng, Comaniciu, Dorin

  • Presents an award winning image analysis technology (Thomas Edison Patent Award, MICCAI Young Investigator Award) that achieves object detection and segmentation with state-of-the-art accuracy and efficiency
  • Flexible, machine learning-based framework, applicable across multiple anatomical structures and imaging modalities
  • Thirty five clinical applications on detecting and segmenting anatomical structures such as heart chambers and valves, blood vessels, liver, kidney, prostate, lymph nodes, and sub-cortical brain structures, in CT, MRI, X-Ray and Ultrasound.
see more benefits

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-1-4939-0600-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4939-0599-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-5575-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (9 chapters)

  • Introduction

    Zheng, Yefeng (et al.)

    Pages 1-23

  • Marginal Space Learning

    Zheng, Yefeng (et al.)

    Pages 25-65

  • Comparison of Marginal Space Learning and Full Space Learning in 2D

    Zheng, Yefeng (et al.)

    Pages 67-78

  • Constrained Marginal Space Learning

    Zheng, Yefeng (et al.)

    Pages 79-101

  • Part-Based Object Detection and Segmentation

    Zheng, Yefeng (et al.)

    Pages 103-135

Buy this book

eBook $79.99
price for USA (gross)
  • ISBN 978-1-4939-0600-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4939-0599-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-5575-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Marginal Space Learning for Medical Image Analysis
Book Subtitle
Efficient Detection and Segmentation of Anatomical Structures
Authors
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-0600-0
DOI
10.1007/978-1-4939-0600-0
Hardcover ISBN
978-1-4939-0599-7
Softcover ISBN
978-1-4939-5575-6
Edition Number
1
Number of Pages
XX, 268
Number of Illustrations and Tables
64 b/w illustrations, 58 illustrations in colour
Topics