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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