Machine Learning in Medical Imaging, Fei Wang; Dinggang Shen; Pingkun Yan; Kenji Suzuki

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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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.

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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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.

Автор: Bekkerman
Название: Scaling up Machine Learning
ISBN: 0521192242 ISBN-13(EAN): 9780521192248
Издательство: Cambridge Academ
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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.

Автор: Wu, Guorong
Название: Machine Learning and Medical Imaging
ISBN: 0128040769 ISBN-13(EAN): 9780128040768
Издательство: Elsevier Science
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Цена: 16505.00 р.
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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.

Автор: Wang
Название: Machine Learning in Medical Imaging
ISBN: 3319471562 ISBN-13(EAN): 9783319471563
Издательство: Springer
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Цена: 8106.00 р.
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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.

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: 7826.00 р.
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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.

Автор: Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun
Название: Machine Learning in Medical Imaging
ISBN: 3319022660 ISBN-13(EAN): 9783319022666
Издательство: Springer
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Цена: 6986.00 р.
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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.

Автор: Kung
Название: Kernel Methods and Machine Learning
ISBN: 110702496X ISBN-13(EAN): 9781107024960
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Автор: Daniel S. Yeung; Zhi-Qiang Liu; Xi-Zhao Wang; Hong
Название: Advances in Machine Learning and Cybernetics
ISBN: 3540335846 ISBN-13(EAN): 9783540335849
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005.

Автор: Dawn E. Holmes
Название: Innovations in Machine Learning
ISBN: 3642067883 ISBN-13(EAN): 9783642067884
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Machine learning is currently one of the most rapidly growing areas of research in computer science. symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences.