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Digital image enhancement and reconstruction, 


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Цена: 22065.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября

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Название:  Digital image enhancement and reconstruction
ISBN: 9780323983709
Издательство: Elsevier Science
Классификация:

ISBN-10: 0323983707
Обложка/Формат: Paperback
Страницы: 378
Вес: 0.45 кг.
Дата издания: 01.08.2022
Серия: Hybrid computational intelligence for pattern analysis and understanding
Язык: English
Размер: 154 x 229 x 23
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Let`s Learn About the Forest is an interactive oversized board book that encourages little ones to use their imaginations and power of discovery to find the different animals and items in the forest God created. As they do, they will also learn interesting facts about the different animals and their habitats.


Advances in Photometric 3D-Reconstruction

Автор: Jean-Denis Durou; Maurizio Falcone
Название: Advances in Photometric 3D-Reconstruction
ISBN: 3030518655 ISBN-13(EAN): 9783030518653
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing.

Digital reconstruction of healthcare

Автор: Cerrato, Paul Halamka, John
Название: Digital reconstruction of healthcare
ISBN: 0367555972 ISBN-13(EAN): 9780367555979
Издательство: Taylor&Francis
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Цена: 5970.00 р.
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Описание: The complex challenges facing healthcare are being met by the transitioning much patient care from hospitals, clinics, and offices to virtual settings. The digital reconstruction of medicine includes telemedicine, mobile apps, sensing devices, and other technologies. The book explores how these tools are meeting patient needs across the globe.

Digital Reconstruction of Healthcare

Автор: Cerrato, Paul Halamka, John
Название: Digital Reconstruction of Healthcare
ISBN: 1032015136 ISBN-13(EAN): 9781032015132
Издательство: Taylor&Francis
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Цена: 12095.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The complex challenges facing healthcare are being met by the transitioning much patient care from hospitals, clinics, and offices to virtual settings. The digital reconstruction of medicine includes telemedicine, mobile apps, sensing devices, and other technologies. The book explores how these tools are meeting patient needs across the globe.

Machine Learning for Medical Image Reconstruction

Автор: Florian Knoll; Andreas Maier; Daniel Rueckert; Jon
Название: Machine Learning for Medical Image Reconstruction
ISBN: 3030338428 ISBN-13(EAN): 9783030338428
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions.

Machine Learning for Medical Image Reconstruction

Автор: Florian Knoll; Andreas Maier; Daniel Rueckert
Название: Machine Learning for Medical Image Reconstruction
ISBN: 3030001288 ISBN-13(EAN): 9783030001285
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

Machine Learning for Medical Image Reconstruction: Third International Workshop, Mlmir 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October

Автор: Deeba Farah, Johnson Patricia, Wьrfl Tobias
Название: Machine Learning for Medical Image Reconstruction: Third International Workshop, Mlmir 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October
ISBN: 3030615979 ISBN-13(EAN): 9783030615970
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.

Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, O

Автор: Haq Nandinee, Johnson Patricia, Maier Andreas
Название: Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, O
ISBN: 3030885518 ISBN-13(EAN): 9783030885519
Издательство: Springer
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Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021.

Iterative-Interpolation Super-Resolution Image Reconstruction

Автор: Vivek Bannore
Название: Iterative-Interpolation Super-Resolution Image Reconstruction
ISBN: 3642101453 ISBN-13(EAN): 9783642101458
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

3-D Surface Geometry and Reconstruction: Developing Concepts and Applications

Автор: Umesh Chandra Pati
Название: 3-D Surface Geometry and Reconstruction: Developing Concepts and Applications
ISBN: 1466601132 ISBN-13(EAN): 9781466601130
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides developers and scholars with an extensive collection of research articles in the expanding field of 3-D reconstruction. This reference book investigates the concepts, methodologies, applications and recent developments in the field of 3-D reconstruction, making it a useful resource for students, researchers, academics, professionals and industry practitioners.

From Global to Local Statistical Shape Priors

Автор: Carsten Last
Название: From Global to Local Statistical Shape Priors
ISBN: 3319535072 ISBN-13(EAN): 9783319535074
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The approach presented uses a local shape prior in each element of the underlying data domain and couples all local shape priors via smoothness constraints.

Computer Vision

Автор: Roberto Cipolla; Sebastiano Battiato; Giovanni Mar
Название: Computer Vision
ISBN: 3662505568 ISBN-13(EAN): 9783662505564
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Computer vision is the science and technology of making machines that see. This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two meetings of the International Computer Vision Summer School.

3D Surface Reconstruction

Автор: Francesco Bellocchio; N. Alberto Borghese; Stefano
Название: 3D Surface Reconstruction
ISBN: 1493901176 ISBN-13(EAN): 9781493901173
Издательство: Springer
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Цена: 16070.00 р.
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Описание: 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced.


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