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

Name: Medical Image Recognition, Segmentation and Parsing: Machine Learning and Multiple Object Approaches
Brand: Academic Press
SKU: 9780128025819
Price: 8161.0 INR
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by S. Kevin Zhou

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ISBN13: 9780128025819
Binding: Hardcover
Subject: N/A
Publisher: Academic Press
Publisher Imprint: Academic Press
Publication Date: December 8, 2015
Pages: 542
Original Price: USD 145.0
Language: English
Edition: N/A
Item Weight: 1316 grams
BISAC Subject(s): Data Science / General, Engineering (General), and Business & Productivity Software / Business Intelligence

About The Book

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

About The Author

Zhou, S. Kevin: - S. Kevin Zhou, PhD is dedicated to research on medical image computing, especially analysis and reconstruction, and its applications in real practices. Currently, he is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC) and directs the Center for Medical Imaging, Robotics, Analytic Computing and Learning (MIRACLE). Dr. Zhou was a Principal Expert and a Senior R&D Director at Siemens Healthcare Research. He has been elected as a fellow of AIMBE, IAMBE, IEEE, MICCAI and NAI and serves the MICCAI society as a board member and treasurer..

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