Domain Adaptation And Representation Transfer And Affordable Healthcare And Ai For Resource Diverse Global Health

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Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

Author : Shadi Albarqouni
Publisher : Springer Nature
ISBN 13 : 3030877221
Total Pages : 276 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health by : Shadi Albarqouni

Download or read book Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health written by Shadi Albarqouni and published by Springer Nature. This book was released on 2021-09-23 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.

Domain Adaptation and Representation Transfer

Author : Lisa Koch
Publisher : Springer Nature
ISBN 13 : 3031458575
Total Pages : 180 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Domain Adaptation and Representation Transfer by : Lisa Koch

Download or read book Domain Adaptation and Representation Transfer written by Lisa Koch and published by Springer Nature. This book was released on 2023-10-13 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Author : Linwei Wang
Publisher : Springer Nature
ISBN 13 : 3031164342
Total Pages : 802 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 by : Linwei Wang

Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 written by Linwei Wang and published by Springer Nature. This book was released on 2022-09-15 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.

Discovery Science

Author : Poncelet Pascal
Publisher : Springer Nature
ISBN 13 : 3031188403
Total Pages : 576 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Discovery Science by : Poncelet Pascal

Download or read book Discovery Science written by Poncelet Pascal and published by Springer Nature. This book was released on 2022-11-05 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 25th International Conference on Discovery Science, DS 2022, which took place virtually during October 10-12, 2022. The 27 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 59 submissions.

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health

Author : Shadi Albarqouni
Publisher : Springer Nature
ISBN 13 : 3031185234
Total Pages : 215 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health by : Shadi Albarqouni

Download or read book Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health written by Shadi Albarqouni and published by Springer Nature. This book was released on 2022-10-08 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third MICCAI Workshop on Distributed, Collaborative, and Federated Learning, DeCaF 2022, and the Second MICCAI Workshop on Affordable AI and Healthcare, FAIR 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. FAIR 2022 was held as a hybrid event. DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority. For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

Author : Shadi Albarqouni
Publisher : Springer
ISBN 13 : 9783030605476
Total Pages : 212 pages
Book Rating : 4.6/5 (54 download)

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Book Synopsis Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning by : Shadi Albarqouni

Download or read book Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning written by Shadi Albarqouni and published by Springer. This book was released on 2020-09-26 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2020, and the First MICCAI Workshop on Distributed and Collaborative Learning, DCL 2020, held in conjunction with MICCAI 2020 in October 2020. The conference was planned to take place in Lima, Peru, but changed to an online format due to the Coronavirus pandemic. For DART 2020, 12 full papers were accepted from 18 submissions. They deal with methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical settings by making them robust and consistent across different domains. For DCL 2020, the 8 papers included in this book were accepted from a total of 12 submissions. They focus on the comparison, evaluation and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases; where information privacy is a priority; where it is necessary to deliver strong guarantees on the amount and nature of private information that may be revealed by the model as a result of training; and where it's necessary to orchestrate, manage and direct clusters of nodes participating in the same learning task.

Global Trends 2040

Author : National Intelligence Council
Publisher : Cosimo Reports
ISBN 13 : 9781646794973
Total Pages : 158 pages
Book Rating : 4.7/5 (949 download)

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Book Synopsis Global Trends 2040 by : National Intelligence Council

Download or read book Global Trends 2040 written by National Intelligence Council and published by Cosimo Reports. This book was released on 2021-03 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Author : Anne L. Martel
Publisher : Springer Nature
ISBN 13 : 3030597105
Total Pages : 849 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 by : Anne L. Martel

Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 written by Anne L. Martel and published by Springer Nature. This book was released on 2020-10-02 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Medical Imaging Informatics

Author : Alex A.T. Bui
Publisher : Springer Science & Business Media
ISBN 13 : 1441903852
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Medical Imaging Informatics by : Alex A.T. Bui

Download or read book Medical Imaging Informatics written by Alex A.T. Bui and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

Radiology in Global Health

Author : Daniel J. Mollura
Publisher : Springer
ISBN 13 : 1461406048
Total Pages : 273 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Radiology in Global Health by : Daniel J. Mollura

Download or read book Radiology in Global Health written by Daniel J. Mollura and published by Springer. This book was released on 2014-07-02 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The World Health Organization stated that approximately two-thirds of the world’s population lacks adequate access to medical imaging. The scarcity of imaging services in developing regions contributes to a widening disparity of health care and limits global public health programs that require imaging. Radiology is an important component of many global health programs, including those that address tuberculosis, AIDS-related disease, trauma, occupational and environmental exposures, breast cancer screening, and maternal-infant health care. There is a growing need for medical imaging in global health efforts and humanitarian outreach, particularly as an increasing number of academic, government, and non-governmental organizations expand delivery of health care to disadvantaged people worldwide. To systematically deploy clinical imaging services to low-resource settings requires contributions from a variety of disciplines such as clinical radiology, epidemiology, public health, finance, radiation physics, information technology, engineering, and others. This book will review critical concepts for those interested in managing, establishing, or participating in a medical imaging program for resource-limited environments and diverse cross-cultural contexts undergoing imaging technology adaptation.

Predictive Intelligence in Biomedical and Health Informatics

Author : Rajshree Srivastava
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110676125
Total Pages : 180 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Predictive Intelligence in Biomedical and Health Informatics by : Rajshree Srivastava

Download or read book Predictive Intelligence in Biomedical and Health Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-10-12 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Machine Learning in Medical Imaging

Author : Chunfeng Lian
Publisher : Springer Nature
ISBN 13 : 303087589X
Total Pages : 723 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning in Medical Imaging by : Chunfeng Lian

Download or read book Machine Learning in Medical Imaging written by Chunfeng Lian and published by Springer Nature. This book was released on 2021-09-25 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.

Textbook of Global Health

Author : Anne-Emanuelle Birn
Publisher : Oxford University Press
ISBN 13 : 0199392307
Total Pages : 713 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis Textbook of Global Health by : Anne-Emanuelle Birn

Download or read book Textbook of Global Health written by Anne-Emanuelle Birn and published by Oxford University Press. This book was released on 2017-01-24 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE CRITICAL WORK IN GLOBAL HEALTH, NOW COMPLETELY REVISED AND UPDATED "This book compels us to better understand the contexts in which health problems emerge and the forces that underlie and propel them." -Archbishop Emeritus Desmond Mpilo Tutu H1N1. Diabetes. Ebola. Zika. Each of these health problems is rooted in a confluence of social, political, economic, and biomedical factors that together inform our understanding of global health. The imperative for those who study global health is to understand these factors individually and, especially, synergistically. Fully revised and updated, this fourth edition of Oxford's Textbook of Global Health offers a critical examination of the array of societal factors that shape health within and across countries, including how health inequities create consequences that must be addressed by public health, international aid, and social and economic policymaking. The text equips students, activists, and health professionals with the building blocks for a contextualized understanding of global health, including essential threads that are combined in no other work: · historical dynamics of the field · the political economy of health and development · analysis of the current global health structure, including its actors, agencies, and activities · societal determinants of health, from global trade and investment treaties to social policies to living and working conditions · the role of health data and measuring health inequities · major causes of global illness and death, including under crises, from a political economy of health vantage point that goes beyond communicable vs. non-communicable diseases to incorporate contexts of social and economic deprivation, work, and globalization · the role of trade/investment and financial liberalization, precarious work, and environmental degradation and contamination · principles of health systems and the politics of health financing · community, national, and transnational social justice approaches to building healthy societies and practicing global health ethically and equitably Through this approach the Textbook of Global Health encourages the reader -- be it student, professional, or advocate -- to embrace a wider view of the global health paradigm, one that draws from political economy considerations at community, national, and transnational levels. It is essential and current reading for anyone working in or around global health.

Understanding the impact of artificial intelligence on skills development

Author : UNESCO International Centre for Technical and Vocational Education and Training
Publisher : UNESCO Publishing
ISBN 13 : 9231004468
Total Pages : 56 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Understanding the impact of artificial intelligence on skills development by : UNESCO International Centre for Technical and Vocational Education and Training

Download or read book Understanding the impact of artificial intelligence on skills development written by UNESCO International Centre for Technical and Vocational Education and Training and published by UNESCO Publishing. This book was released on 2021-04-02 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Global Health Care

Author : Carol Holtz
Publisher : Jones & Bartlett Publishers
ISBN 13 : 0763799645
Total Pages : 641 pages
Book Rating : 4.7/5 (637 download)

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Book Synopsis Global Health Care by : Carol Holtz

Download or read book Global Health Care written by Carol Holtz and published by Jones & Bartlett Publishers. This book was released on 2013 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised second edition of Global health care: issues and policies equips students with up-to-date information on various global health topics and perspectives. It prepares readers with a basic perspective of health policy issues in different geographical regions, and explains how they are affected by significant world events. Author Carol Holtz, a nursing professor who understands student needs, outlines the cultural, religious, economic, and political influences on global health to guide students through the text and edits contributions from many notable authors. New to this edition: Updates to all chapters to include timely data and references; Includes coverage of new infectious diseases as well as updated current diseases; Global perspectives on economics and health care is completely revised; Ethical and end of life issues; Human rights, stigma and HIV disclosure; Health and health care in Mexico; An instructor's manual, featuring PowerPoint presentations; ... complete with engaging online learning activities for students.

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.