Multimodal Biomedical Imaging
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Big Data In Multimodal Medical Imaging
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2019-11-05
Big Data In Multimodal Medical Imaging written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Computers categories.
There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
Multimodal Biomedical Imaging Xi
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Author :
language : en
Publisher:
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Multimodal Biomedical Imaging Xi written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Deep Neural Networks For Multimodal Imaging And Biomedical Applications
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Author : Suresh, Annamalai
language : en
Publisher: IGI Global
Release Date : 2020-06-26
Deep Neural Networks For Multimodal Imaging And Biomedical Applications written by Suresh, Annamalai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Multimodal Biomedical Imaging Xvii
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Author :
language : en
Publisher:
Release Date : 2022
Multimodal Biomedical Imaging Xvii written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Multiscale Multimodal Medical Imaging
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Author : Xiang Li
language : en
Publisher: Springer Nature
Release Date : 2022-10-13
Multiscale Multimodal Medical Imaging written by Xiang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Computers categories.
This book constitutes the refereed proceedings of the Third International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2022, held in conjunction with MICCAI 2022 in singapore, in September 2022. The 12 papers presented were carefully reviewed and selected from 18 submissions. The MMMI workshop aims to advance the state of the art in multi-scale multi-modal medical imaging, including algorithm development, implementation of methodology, and experimental studies. The papers focus on medical image analysis and machine learning, especially on machine learning methods for data fusion and multi-score learning.
Ethical And Philosophical Issues In Medical Imaging Multimodal Learning And Fusion Across Scales For Clinical Decision Support And Topological Data Analysis For Biomedical Imaging
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Author : John S. H. Baxter
language : en
Publisher: Springer Nature
Release Date : 2022-12-20
Ethical And Philosophical Issues In Medical Imaging Multimodal Learning And Fusion Across Scales For Clinical Decision Support And Topological Data Analysis For Biomedical Imaging written by John S. H. Baxter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Computers categories.
This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topology plays in machine learning and data science.
Translational Multimodality Optical Imaging
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Author : Fred S. Azar
language : en
Publisher: Artech House
Release Date : 2008
Translational Multimodality Optical Imaging written by Fred S. Azar and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.
Supported with 119 illustrations, this milestone work discusses key optical imaging techniques in self-contained chapters; describes the integration of optical imaging techniques with other modalities like MRI, X-ray imaging, and PET imaging; provides a software platform for multimodal integration; presents cutting-edge computational and data processing techniques that ensure rapid, cost-effective, and precise quantification and characterization of the clinical data; covers advances in photodynamic therapy and molecular imaging, and reviews key clinical studies in optical imaging along with regulatory and business issues.
Multimodal Biomedical Imaging Xi
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Author : Fred S. Azar
language : en
Publisher:
Release Date : 2016
Multimodal Biomedical Imaging Xi written by Fred S. Azar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Multimodal Biomedical Imaging
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Author :
language : en
Publisher:
Release Date : 2007
Multimodal Biomedical Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Diagnostic imaging categories.
Multimodal Biomedical Imaging Xii
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Author : Fred Azar
language : en
Publisher:
Release Date : 2018-02-28
Multimodal Biomedical Imaging Xii written by Fred Azar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with categories.
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.