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Medical Image Recognition, Segmentation and Parsing

Machine Learning and Multiple Object Approaches

  • 1st Edition - December 2, 2015
  • Author: S. Kevin Zhou
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 1 2 - 8 0 2 5 8 1 - 9
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 0 2 6 7 6 - 2

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 th… Read more

Medical Image Recognition, Segmentation and Parsing

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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