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

Medical Image Recognition, Segmentation and Parsing : Machine Learning and Multiple Object Approaches - image 1 of 1

About this item

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
Number of Pages: 522
Genre: Medical
Series Title: The Elsevier and Miccai Society Book Series
Format: Hardcover
Publisher: Elsevier Science Ltd
Language: English
Street Date: December 8, 2015
TCIN: 50597271
UPC: 9780128025819
Item Number (DPCI): 248-08-7270
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$145.00
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