Big Data in Multimodal Medical Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data in Multimodal Medical Imaging write by Ayman El-Baz. This book was released on 2019-11-05. Big Data in Multimodal Medical Imaging available in PDF, EPUB and Kindle. 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.
Big Data in Medical Image Processing
Big Data in Medical Image Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data in Medical Image Processing write by R. Suganya. This book was released on 2018-01-29. Big Data in Medical Image Processing available in PDF, EPUB and Kindle. The field of medical imaging seen rapid development over the last two decades and has consequently revolutionized the way in which modern medicine is practiced. Diseases and their symptoms are constantly changing therefore continuous updating is necessary for the data to be relevant. Diseases fall into different categories, even a small difference in symptoms may result in categorising it in a different group altogether. Thus analysing data accurately is of critical importance. This book concentrates on diagnosing diseases like cancer or tumor from different modalities of images. This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration, feature extraction, classification and retrieval. It is further supplemented by the medical analyst for a continuous treatment process. The book provides an automated system that could retrieve images based on user’s interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.
Big data analytics for smart healthcare applications
Big data analytics for smart healthcare applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big data analytics for smart healthcare applications write by Celestine Iwendi. This book was released on 2023-04-17. Big data analytics for smart healthcare applications available in PDF, EPUB and Kindle.
Applications of Parallel Data Processing for Biomedical Imaging
Applications of Parallel Data Processing for Biomedical Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Parallel Data Processing for Biomedical Imaging write by Khan, Rijwan. This book was released on 2024-04-26. Applications of Parallel Data Processing for Biomedical Imaging available in PDF, EPUB and Kindle. Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research.
Big Data Analytics for Large-Scale Multimedia Search
Big Data Analytics for Large-Scale Multimedia Search - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics for Large-Scale Multimedia Search write by Stefanos Vrochidis. This book was released on 2019-05-28. Big Data Analytics for Large-Scale Multimedia Search available in PDF, EPUB and Kindle. A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
