Medical Image Recognition  Segmentation and Parsing
  • Release Date : 11 December 2015
  • Publisher : Academic Press
  • Categories : Computers
  • Pages : 542 pages
  • ISBN 13 : 9780128026762
  • ISBN 10 : 0128026766
Score: 4
From 245 Ratings
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Synopsis : Medical Image Recognition Segmentation and Parsing written by S. Kevin Zhou, published by Academic Press which was released on 11 December 2015. Download Medical Image Recognition Segmentation and Parsing Books now! Available in PDF, EPUB, Mobi Format. 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