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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches

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by Kevin Zhou
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Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches by Kevin Zhou

This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image.

Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects.

Learn:

  • Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects
  • Methods and theories for medical image recognition, segmentation and parsing of multiple objects
  • Efficient and effective machine learning solutions based on big datasets
  • Selected applications of medical image parsing using proven algorithms

  • Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects
  • Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets
  • Includes algorithms for recognizing and parsing of known anatomies for practical applications

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Ebook Details
Pages: 542
Size: 48.3 MB
Publisher: Academic Press
Date published:   2015
ISBN: 2370007196678 (DRM-EPUB)
9780128026762 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Technology > Engineering
Nonfiction > Computers > Data Processing

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01/21/2017
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