Applications Of Parallel Data Processing For Biomedical Imaging

Author : Khan, Rijwan,Kumar, Indrajeet,Praveen, Pushkar
Publisher : IGI Global
Page : 367 pages
File Size : 55,6 Mb
Release : 2024-04-26
Category : Medical
ISBN : 9798369324271

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Applications of Parallel Data Processing for Biomedical Imaging by Khan, Rijwan,Kumar, Indrajeet,Praveen, Pushkar Pdf

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.

Author : A. Ravishankar Rao,Guillermo A. Cecchi
Publisher : Artech House
Page : 353 pages
File Size : 43,8 Mb
Release : 2009
Category : Medical
ISBN : 9781596932968

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High-throughput Image Reconstruction and Analysis by A. Ravishankar Rao,Guillermo A. Cecchi Pdf

This innovative volume surveys the latest image acquisition advances in serial block face techniques in scanning electron microscopy, knife-edge scanning microscopy, and 4D imaging of multi-component biological systems. The book introduces parallel processing for biological applications. You learn advanced parallelization techniques for decomposing a problem domain and mapping it onto a parallel processing architecture using the message-passing interface (MPI) and OpenMP. Case studies show how these techniques have been successfully used in simulation tasks, data mining, and graphical visualization of biological datasets. You also find coverage of methods for developing scalable biological image databases and for facilitating greater interactive visualization of large image sets.

Author : Sanjay Saxena,Sudip Paul
Publisher : CRC Press
Page : 337 pages
File Size : 46,9 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781000410372

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High-Performance Medical Image Processing by Sanjay Saxena,Sudip Paul Pdf

The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

Author : Zhengbing Hu,Yong Wang,Matthew He
Publisher : Springer Nature
Page : 993 pages
File Size : 49,6 Mb
Release : 2023-01-28
Category : Technology & Engineering
ISBN : 9783031244759

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Advances in Intelligent Systems, Computer Science and Digital Economics IV by Zhengbing Hu,Yong Wang,Matthew He Pdf

This book comprises high-quality peer-reviewed research papers presented at the 4th International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2022), held in Wuhan, China, from November 11–13, 2022, organized jointly by the Wuhan University of Technology, Hubei University of Technology, Wuhan University of Science and Technology, the Polish Operational and Systems Society, and the International Center of Informatics and Computer Science (ICICS). The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and educational approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management.

Author : Prabhakar, Pranav Kumar
Publisher : IGI Global
Page : 504 pages
File Size : 46,8 Mb
Release : 2024-05-06
Category : Technology & Engineering
ISBN : 9798369344408

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Reshaping Healthcare with Cutting-Edge Biomedical Advancements by Prabhakar, Pranav Kumar Pdf

Despite remarkable advancements in biomedical research, the healthcare industry faces challenges in effectively translating these discoveries into tangible patient benefits. Healthcare professionals often need help to keep pace with the rapid evolution of medical knowledge, leading to variations in patient care and treatment outcomes. Policymakers and educators may need more insight to leverage recent biomedical developments in shaping effective health policies and educational curricula. Additionally, ethical considerations surrounding emerging technologies like gene editing and Artificial Intelligence (AI) in healthcare pose complex dilemmas that require careful navigation. Reshaping Healthcare with Cutting-Edge Biomedical Advancements offers a comprehensive solution to these challenges. By providing a detailed exploration of the latest breakthroughs in genomics, regenerative therapies, neurobiology, AI, and more, this book equips healthcare professionals with the knowledge needed to make informed decisions about patient care. It also guides policymakers and educators, offering insights into the implications of recent biomedical advancements for shaping health policies and educational programs.

Author : Musaddiq, Sara,Fayyaz, Imama,Mustafa, Kiran
Publisher : IGI Global
Page : 406 pages
File Size : 52,6 Mb
Release : 2024-05-07
Category : Medical
ISBN : 9798369361078

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Ethnobotanical Insights Into Medicinal Plants by Musaddiq, Sara,Fayyaz, Imama,Mustafa, Kiran Pdf

A significant gap exists between traditional knowledge and modern scientific understanding of phytochemicals and ethnobotanical wisdom in botanical science. Despite the commonplace culinary use of many herbs and seasonings, their historical, botanical, and medicinal dimensions often remain overlooked. This gap hinders advancements in various disciplines, including chemistry, pharmacology, botany, and agriculture, limiting the potential for innovative research and sustainable solutions. Ethnobotanical Insights into Medicinal Plants bridges this gap by comprehensively examining these plants' morphology, cultivation techniques, and classifications. This book illuminates their untapped potential and catalyzes innovative healthcare, agriculture, and manufacturing research. Integrating ethnobotanical observations with scientific progress enhances the intellectual domain for academics, researchers, and professionals, paving the way for environmentally sustainable methods of producing bioactive substances.

Author : National Institutes of Health (U.S.)
Publisher : Unknown
Page : 438 pages
File Size : 54,5 Mb
Release : 1995
Category : Health
ISBN : PURD:32754063943298

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Postdoctoral Research Fellowship Opportunities by National Institutes of Health (U.S.) Pdf

Author : Anonim
Publisher : Unknown
Page : 104 pages
File Size : 55,7 Mb
Release : 1990
Category : Electronic
ISBN : MINN:31951D00866999W

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NIH Publication by Anonim Pdf

Author : Siddhartha Bhattacharyya,Ujjwal Maulik
Publisher : Springer Science & Business Media
Page : 267 pages
File Size : 42,5 Mb
Release : 2013-10-04
Category : Computers
ISBN : 9783642402555

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Soft Computing for Image and Multimedia Data Processing by Siddhartha Bhattacharyya,Ujjwal Maulik Pdf

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Author : Sanjay Saxena,Sudip Paul
Publisher : CRC Press
Page : 329 pages
File Size : 40,7 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781000410358

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High-Performance Medical Image Processing by Sanjay Saxena,Sudip Paul Pdf

The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.

Author : Arun Kumar Sangaiah
Publisher : Academic Press
Page : 280 pages
File Size : 48,5 Mb
Release : 2019-07-26
Category : Computers
ISBN : 9780128172933

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Deep Learning and Parallel Computing Environment for Bioengineering Systems by Arun Kumar Sangaiah Pdf

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data

Author : Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publisher : CRC Press
Page : 340 pages
File Size : 52,9 Mb
Release : 2018-10-25
Category : Computers
ISBN : 9781351030373

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Medical Big Data and Internet of Medical Things by Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra Pdf

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.

Author : Marina Cocchi
Publisher : Elsevier
Page : 396 pages
File Size : 45,7 Mb
Release : 2019-05-11
Category : Science
ISBN : 9780444639851

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Data Fusion Methodology and Applications by Marina Cocchi Pdf

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2120 pages
File Size : 52,9 Mb
Release : 2012-11-30
Category : Computers
ISBN : 9781466624566

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Data Mining: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Author : Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Publisher : Springer Nature
Page : 336 pages
File Size : 40,7 Mb
Release : 2019-12-11
Category : Computers
ISBN : 9789811511004

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Advancement of Machine Intelligence in Interactive Medical Image Analysis by Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal Pdf

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.