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Understanding and Interpreting Machine Learning in Medical Image Computing Applications, Danail Stoyanov; Zeike Taylor; Seyed Mostafa Kia;


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Автор: Danail Stoyanov; Zeike Taylor; Seyed Mostafa Kia;
Название:  Understanding and Interpreting Machine Learning in Medical Image Computing Applications
ISBN: 9783030026271
Издательство: Springer
Классификация:





ISBN-10: 3030026272
Обложка/Формат: Soft cover
Страницы: 149
Вес: 0.27 кг.
Дата издания: 2018
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 60 illustrations, black and white; xvi, 149 p. 60 illus.
Размер: 234 x 156 x 9
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 4 full MLCN papers, the 6 full DLF papers, and the 6 full iMIMIC papers included in this volume were carefully reviewed and selected. The MLCN contributions develop state-of-the-art machine learning methods such as spatio-temporal Gaussian process analysis, stochastic variational inference, and deep learning for applications in Alzheimers disease diagnosis and multi-site neuroimaging data analysis; the DLF papers evaluate the strengths and weaknesses of DL and identify the main challenges in the current state of the art and future directions; the iMIMIC papers cover a large range of topics in the field of interpretability of machine learning in the context of medical image analysis.


Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Автор: Kenji Suzuki; Mauricio Reyes; Tanveer Syeda-Mahmoo
Название: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
ISBN: 3030338495 ISBN-13(EAN): 9783030338497
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019).- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification.- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics.- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules.- Deep neural network or dermatologist?.- Towards Interpretability of Segmentation Networks by analyzing DeepDreams.- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019).- Towards Automatic Diagnosis from Multi-modal Medical Data.- Deep Learning based Multi-Modal Registration for Retinal Imaging.- Automated Enriched Medical Concept Generation for Chest X-ray Images.

Computer Vision and Image Processing: Fundamentals and Applications

Автор: Manas Kamal Bhuyan
Название: Computer Vision and Image Processing: Fundamentals and Applications
ISBN: 0815370849 ISBN-13(EAN): 9780815370840
Издательство: Taylor&Francis
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Цена: 21437.00 р.
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Описание: The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts.

Near-Infrared Nanomaterials: Preparation, Bioimaging and Therapy Applications

Название: Near-Infrared Nanomaterials: Preparation, Bioimaging and Therapy Applications
ISBN: 1782623191 ISBN-13(EAN): 9781782623199
Издательство: Royal Society of Chemistry
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Цена: 37805.00 р.
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Описание: This book systematically summarises the recent progress in the fabrication and application of near infrared nanomaterials for biomedical imaging and therapy.

Embolization Therapy: Principles and Clinical Applications

Автор: Guimaraes Marcelo
Название: Embolization Therapy: Principles and Clinical Applications
ISBN: 1451191448 ISBN-13(EAN): 9781451191448
Издательство: Lippincott Williams & Wilkins
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Цена: 39296.00 р.
Наличие на складе: Поставка под заказ.

Описание: Covers all the devices, basic and advanced techniques, and tips and tricks that you need to know to make the most of these frequently performed procedures in your practice. From a review of embolic agents, to clinical applications, to discussions of the future of embolotherapy, this book offers a complete coverage of embolization procedures.

Understanding Machine Learning

Автор: Shalev-Shwartz
Название: Understanding Machine Learning
ISBN: 1107057132 ISBN-13(EAN): 9781107057135
Издательство: Cambridge Academ
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Цена: 11194.00 р.
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Описание: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the `hows` and `whys` of machine-learning algorithms, making the field accessible to both students and practitioners.

Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Автор: Manuel Grana; Carlos Toro; Robert J. Howlett; Lakh
Название: Knowledge Engineering, Machine Learning and Lattice Computing with Applications
ISBN: 3642373429 ISBN-13(EAN): 9783642373428
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012.

Advanced Image Processing Techniques and Applications

Автор: Kumar N. Suresh, Sangaiah Arun Kumar, Arun M.
Название: Advanced Image Processing Techniques and Applications
ISBN: 1522520538 ISBN-13(EAN): 9781522520535
Издательство: Mare Nostrum (Eurospan)
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Цена: 42273.00 р.
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Описание: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.The Handbook of Research on Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

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: 18167.00 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.

Medical Image Understanding and Analysis

Автор: Nixon
Название: Medical Image Understanding and Analysis
ISBN: 3319959204 ISBN-13(EAN): 9783319959207
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The papers are organized in topical sections on liver analysis, medical image analysis, texture and image analysis, MRI: applications and techniques, segmentation in medical images, CT: learning and planning, ocular imaging analysis, applications of medical image analysis.

Deep Learning in Medical Image Analysis: Challenges and Applications

Автор: Lee Gobert, Fujita Hiroshi
Название: Deep Learning in Medical Image Analysis: Challenges and Applications
ISBN: 303033127X ISBN-13(EAN): 9783030331276
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems.


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