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Ophthalmic Medical Image Analysis, Antony


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Цена: 10976.00р.
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Автор: Antony
Название:  Ophthalmic Medical Image Analysis
ISBN: 9783031440120
Издательство: Springer
Классификация:

ISBN-10: 3031440129
Обложка/Формат: Soft cover
Вес: 0.00 кг.
Дата издания: 20.10.2023
Язык: English
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.


Essentials of Digital Signal Processing

Автор: Lathi
Название: Essentials of Digital Signal Processing
ISBN: 1107059321 ISBN-13(EAN): 9781107059320
Издательство: Cambridge Academ
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Цена: 16474.00 р.
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Описание: This textbook offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with sound mathematical methods. It uses metaphors, analogies and creative explanations and exercises. There are 500 figures, over 170 fully worked examples, hundreds of end-of-chapter problems, and over 150 drill exercises with student solutions.

Guide to Medical Image Analysis

Автор: Toennies
Название: Guide to Medical Image Analysis
ISBN: 1447160967 ISBN-13(EAN): 9781447160960
Издательство: Springer
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Цена: 8537.00 р.
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Описание: Practical in approach, this book describes a range of common imaging techniques, reconstruction techniques and image artifacts, reviews image enhancement methods, discusses image transfer and archiving, and includes exercises and a glossary of abbreviations.

Spectral and Shape Analysis in Medical Imaging

Автор: Reuter
Название: Spectral and Shape Analysis in Medical Imaging
ISBN: 3319512366 ISBN-13(EAN): 9783319512365
Издательство: Springer
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Цена: 5123.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.The 10 submitted full papers presented in this volume were carefully reviewed.The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.

Decision forests for computer vision and medical image analysis

Название: Decision forests for computer vision and medical image analysis
ISBN: 1447149289 ISBN-13(EAN): 9781447149286
Издательство: Springer
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Цена: 19514.00 р.
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Reconstruction, Segmentation, and Analysis of Medical Images

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 6097.00 р.
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Cloud-Based Benchmarking of Medical Image Analysis

Автор: Allan Hanbury; Henning M?ller; Georg Langs
Название: Cloud-Based Benchmarking of Medical Image Analysis
ISBN: 3319496425 ISBN-13(EAN): 9783319496429
Издательство: Springer
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Цена: 6097.00 р.
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Описание: VISCERAL: Evaluation-as-a-Service for Medical Imaging.- Using the Cloud as a Platform for Evaluation and Data Preparation.- Ethical and Privacy Aspects of Using Medical Image Data.- Annotating Medical Image Data.- Datasets created in VISCERAL.- Evaluation Metrics for Medical Organ Segmentation and Lesion Detection.- VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localisation: Tasks and Results.- Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark.- Automatic Atlas-Free Multi-Organ Segmentation of Contrast-Enhanced CT Scans.- Multi-organ Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information.- Automatic Multi-organ Segmentation using Hierarchically-Registered Probabilistic Atlases.- Multi-Atlas Segmentation Using Robust Feature-Based Registration.- Combining Radiology Images and Clinical Meta-data for Multimodal Medical Case-based Retrieval.- Text and Content-based Medical Image Retrieval in the VISCERAL Retrieval Benchmark.

Medical Image Understanding and Analysis

Автор: Mar?a Vald?s Hern?ndez; V?ctor Gonz?lez-Castro
Название: Medical Image Understanding and Analysis
ISBN: 3319609637 ISBN-13(EAN): 9783319609638
Издательство: Springer
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Цена: 15855.00 р.
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Описание: This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Автор: M. Jorge Cardoso; Tal Arbel; Gustavo Carneiro; Tan
Название: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
ISBN: 3319675575 ISBN-13(EAN): 9783319675572
Издательство: Springer
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Цена: 7927.00 р.
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Описание:

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Natural User Interfaces in Medical Image Analysis

Автор: Marek R. Ogiela; Tomasz Hachaj
Название: Natural User Interfaces in Medical Image Analysis
ISBN: 3319077996 ISBN-13(EAN): 9783319077994
Издательство: Springer
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Цена: 11586.00 р.
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Описание: This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis.

Color Medical Image Analysis

Автор: M. Emre Celebi; Gerald Schaefer
Название: Color Medical Image Analysis
ISBN: 940178129X ISBN-13(EAN): 9789401781299
Издательство: Springer
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Цена: 14817.00 р.
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Описание: Recently, medical imaging modalities that use color information have been introduced to the formerly monochrome world of x-ray, CT and ultrasound. This book summarizes the state of the art in the utilization of color information in medical image analysis.

Decision Forests for Computer Vision and Medical Image Analysis

Автор: Antonio Criminisi; J Shotton
Название: Decision Forests for Computer Vision and Medical Image Analysis
ISBN: 144716962X ISBN-13(EAN): 9781447169628
Издательство: Springer
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Цена: 15245.00 р.
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Описание: This practical, easy-to-follow book reviews the theoretical underpinnings of decision forests, organizing the existing literature in a new, general-purpose forest model. Includes exercises and experiments; slides, videos and more reside at a companion website.

Shape Analysis in Medical Image Analysis

Автор: Shuo Li; Jo?o Manuel R. S. Tavares
Название: Shape Analysis in Medical Image Analysis
ISBN: 3319375210 ISBN-13(EAN): 9783319375212
Издательство: Springer
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Цена: 13677.00 р.
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Описание: A landmark publication in its scope, this book features contributions by more than a dozen internationally renowned experts, addressing key topics in shape analysis in medical imaging, such as image segmentation, modeling, and classification techniques.


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