Big Data in Medical Image Processing

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Release : 2018-01-29
Genre : Science
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Book Rating : 610/5 ( reviews)

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 in Multimodal Medical Imaging

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

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 Multimodal Medical Imaging

Download Big Data in Multimodal Medical Imaging PDF Online Free

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

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.

Medical Big Data and Internet of Medical Things

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Release : 2018-10-25
Genre : Computers
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Book Rating : 361/5 ( reviews)

Medical Big Data and Internet of Medical Things - 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 Medical Big Data and Internet of Medical Things write by Aboul Ella Hassanien. This book was released on 2018-10-25. Medical Big Data and Internet of Medical Things available in PDF, EPUB and Kindle. Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Knowledge Modelling and Big Data Analytics in Healthcare

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Release : 2021-12-08
Genre : Computers
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Book Rating : 762/5 ( reviews)

Knowledge Modelling and Big Data Analytics in Healthcare - 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 Knowledge Modelling and Big Data Analytics in Healthcare write by Mayuri Mehta. This book was released on 2021-12-08. Knowledge Modelling and Big Data Analytics in Healthcare available in PDF, EPUB and Kindle. Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.