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

S Kevin Zhou

ISBN 10: 0128025816 / ISBN 13: 9780128025819

Edité par Elsevier Science, 2015

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9780128025819

Détails bibliographiques

• Titre: Medical Image Recognition, Segmentation and Parsing : Machine Learning and Multiple Object Approaches
• Éditeur: Elsevier Science
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 0128025816
• ISBN à 13 chiffres: 9780128025819
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 235 L x 188 H x 31 P (en millimètres) 235 millimètres de largeur par 188 millimètres de hauteur par 31 millimètres de profondeur
• Poids: 1218 grammes

A propos de ce titre

Synopsis

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

À propos de l?auteur

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..