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Deep Learning and Data Labeling for Medical Applications, Carneiro


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Цена: 6988.00р.
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Автор: Carneiro
Название:  Deep Learning and Data Labeling for Medical Applications
ISBN: 9783319469751
Издательство: Springer
Классификация:




ISBN-10: 3319469754
Обложка/Формат: Paperback
Страницы: 280
Вес: 0.46 кг.
Дата издания: 2016
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Иллюстрации: 115 black & white illustrations, biography
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.
The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.

Дополнительное описание: Active learning.- Semi-supervised learning.- Reinforcement learning.- Domain adaptation and transfer learning.- Crowd-sourcing annotations and fusion of labels from different sources.- Data augmentation.- Modelling of label uncertainty.- Visualization and



Semantic Labeling of Places with Mobile Robots

Автор: ?scar Martinez Mozos
Название: Semantic Labeling of Places with Mobile Robots
ISBN: 3642112099 ISBN-13(EAN): 9783642112096
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Service robots often work in indoor environments divided into rooms, corridors and doorways. This book presents several approaches to enable a mobile robot to categorize places indoors. Many approaches come from areas of pattern recognition and classification.

Intelligent Collaborative e-Learning Systems and Applications

Автор: Thanasis Daradoumis; Santi Caball?; Joan Manuel Ma
Название: Intelligent Collaborative e-Learning Systems and Applications
ISBN: 3642040004 ISBN-13(EAN): 9783642040009
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Focusing on what has become a major research theme in the CSCL and CSCW research community, the authors provide new insights, fresh results and imaginative approaches both on the analysis and the development of more powerful e-collaboration settings.

Face Processing And Applications To Distance Learning

Автор: Le Vuong Et Al
Название: Face Processing And Applications To Distance Learning
ISBN: 9814733024 ISBN-13(EAN): 9789814733021
Издательство: World Scientific Publishing
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Цена: 10296.00 р.
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Описание:

This special compendium provides a concise and unified vision of facial image processing. It addresses a collection of state-of-the-art techniques, covering the most important areas for facial biometrics and behavior analysis. These techniques also converge to serve an emerging practical application of interactive distance learning.

Readers will get a broad picture of the fundamental science of the field and technical details that make the research interesting. Moreover, the intellectual investigation motivated by the demand of real-life application will make this volume an inspiring read for current and prospective researchers and engineers in the fields of computer vision, machine learning and image processing.

Medical Imaging in Clinical Applications

Автор: Dey
Название: Medical Imaging in Clinical Applications
ISBN: 3319337912 ISBN-13(EAN): 9783319337913
Издательство: Springer
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Цена: 28734.00 р.
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Описание: This volume comprises of 21 selected chapters, including two overview chapters devoted to abdominal imaging in clinical applications supported computer aided diagnosis approaches as well as different techniques for solving the pectoral muscle extraction problem in the preprocessing part of the CAD systems for detecting breast cancer in its early stage using digital mammograms. The aim of this book is to stimulate further research in medical imaging applications based algorithmic and computer based approaches and utilize them in real-world clinical applications. The book is divided into four parts, Part-I: Clinical Applications of Medical Imaging, Part-II: Classification and clustering, Part-III: Computer Aided Diagnosis (CAD) Tools and Case Studies and Part-IV: Bio-inspiring based Computer Aided diagnosis techniques.

Innovative Applications in Data Mining

Название: Innovative Applications in Data Mining
ISBN: 3642099769 ISBN-13(EAN): 9783642099762
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Real-world case studies of data mining are based on proprietary datasets, making it hard to publish the results and evaluate the data mining techniques. This book offers the latest research developed for data mining for real-world application.

Advances in Data Mining. Applications and Theoretical Aspects

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3642030661 ISBN-13(EAN): 9783642030666
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.


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