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Big Data in Multimodal Medical Imaging

2019-11-05 Computers
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Release : 2019-11-05
Genre : Computers
Kind : eBook
Book Rating : 737/5 ( reviews)

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Book Synopsis Big Data in Multimodal Medical Imaging by : Ayman El-Baz

Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz. This book was released on 2019-11-05. Available in PDF, EPUB and Kindle. Book excerpt: 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 Multimodal Medical Imaging

2019-11-05 Computers
Download Big Data in Multimodal Medical Imaging PDF Online Free

Author :
Release : 2019-11-05
Genre : Computers
Kind : eBook
Book Rating : 729/5 ( reviews)

GET EBOOK


Book Synopsis Big Data in Multimodal Medical Imaging by : Ayman El-Baz

Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz. This book was released on 2019-11-05. Available in PDF, EPUB and Kindle. Book excerpt: 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

2018-01-29 Science
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Release : 2018-01-29
Genre : Science
Kind : eBook
Book Rating : 629/5 ( reviews)

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Book Synopsis Big Data in Medical Image Processing by : R. Suganya

Download or read book Big Data in Medical Image Processing written by R. Suganya. This book was released on 2018-01-29. Available in PDF, EPUB and Kindle. Book excerpt: 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

2023-04-17 Medical
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Release : 2023-04-17
Genre : Medical
Kind : eBook
Book Rating : 754/5 ( reviews)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi. This book was released on 2023-04-17. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Parallel Data Processing for Biomedical Imaging

2024-04-26 Medical
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Release : 2024-04-26
Genre : Medical
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Applications of Parallel Data Processing for Biomedical Imaging by : Khan, Rijwan

Download or read book Applications of Parallel Data Processing for Biomedical Imaging written by Khan, Rijwan. This book was released on 2024-04-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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