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Machine Learning in Medical Imaging, Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun


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Цена: 46570.00T
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Склад Америка: 288 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun
Название:  Machine Learning in Medical Imaging
ISBN: 9783319022666
Издательство: Springer
Классификация:





ISBN-10: 3319022660
Обложка/Формат: Paperback
Страницы: 262
Вес: 0.39 кг.
Дата издания: 21.08.2013
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Размер: 234 x 156 x 15
Основная тема: Computer Science
Подзаголовок: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013.

Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Machine Learning and Medical Imaging

Автор: Wu, Guorong
Название: Machine Learning and Medical Imaging
ISBN: 0128040769 ISBN-13(EAN): 9780128040768
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание: Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Machine Learning in Medical Imaging

Автор: Luping Zhou; Li Wang; Qian Wang; Yinghuan Shi
Название: Machine Learning in Medical Imaging
ISBN: 3319248871 ISBN-13(EAN): 9783319248875
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015.

Machine Learning in Medical Imaging

Автор: Qian Wang; Yinghuan Shi; Heung-Il Suk; Kenji Suzuk
Название: Machine Learning in Medical Imaging
ISBN: 3319673882 ISBN-13(EAN): 9783319673882
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging.

Machine Learning in Medical Imaging

Автор: Wang
Название: Machine Learning in Medical Imaging
ISBN: 3319471562 ISBN-13(EAN): 9783319471563
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging.

Machine Learning in Medical Imaging

Автор: Fei Wang; Dinggang Shen; Pingkun Yan; Kenji Suzuki
Название: Machine Learning in Medical Imaging
ISBN: 3642354270 ISBN-13(EAN): 9783642354274
Издательство: Springer
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Цена: 42860.00 T
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Описание: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging.

Scaling up Machine Learning

Автор: Bekkerman
Название: Scaling up Machine Learning
ISBN: 0521192242 ISBN-13(EAN): 9780521192248
Издательство: Cambridge Academ
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Цена: 98210.00 T
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Описание: In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.

Human Activity Recognition

Автор: Labrador, Miguel A.
Название: Human Activity Recognition
ISBN: 1466588276 ISBN-13(EAN): 9781466588271
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Невозможна поставка.
Описание:

Learn How to Design and Implement HAR Systems

The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors--a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations.

Developed from the authors' nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user's activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.


High Performance Programming for Soft Computing

Название: High Performance Programming for Soft Computing
ISBN: 146658601X ISBN-13(EAN): 9781466586017
Издательство: Taylor&Francis
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Цена: 153120.00 T
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Описание: This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.


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