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Deep Learning For Covid Image Analysis

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Deep Learning for COVID Image Analysis

Deep Learning for COVID Image Analysis Book
Author : Hayit Greenspan,S. Kevin Zhou
Publisher : Academic Press
Release : 2021-10-01
ISBN : 0323902022
Language : En, Es, Fr & De

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Book Description :

Medical imaging is playing a role in the fight against COVID-19, in some countries as a key tool, from the screening and diagnosis through the entire treatment procedure. The extraordinarily rapid spread of this pandemic has demonstrated that a new disease entity with a subset of relatively unique characteristics can pose a major new clinical challenge that requires new diagnostic tools in imaging. The AI/Deep Learning Imaging community has shown in many recent publications that rapidly developed AI-based automated CT and Xray image analysis tools can achieve high accuracy in detection of Coronavirus positive patients as well as quantifying the disease burden. The typical developmental cycle and large number of studies required to develop AI algorithms for various disease entities is much too long to respond effectively to produce these software tools on demand. This suggests the strong need to develop software more rapidly, perhaps using transfer learning from existing algorithms, to train on a relatively limited number of cases, and to train on multiple datasets in various locations that may not be able to be easily combined due to privacy and security issues. Deep Learning for COVID Image Analysis provides a comprehensive overview of the most recently developed deep learning-based systems and solutions for COVID-19 image analysis, assembling a collection of state-of-the-art works for detection, severity analysis and predictive analysis, all of which are tools to support handling of the disease. Provides a comprehensive overview of research work on deep learning for COVID-19 image analysis Offers proven deep learning algorithms for medical image analysis applications Presents the research challenges in approaching a new disease

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1 Book
Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Release : 2021-05-27
ISBN : 0128245379
Language : En, Es, Fr & De

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Book Description :

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Thoracic Image Analysis

Thoracic Image Analysis Book
Author : Jens Petersen
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 3030624692
Language : En, Es, Fr & De

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Book Description :

Download Thoracic Image Analysis book written by Jens Petersen, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Intelligent Systems and Methods to Combat Covid 19

Intelligent Systems and Methods to Combat Covid 19 Book
Author : Amit Joshi,Nilanjan Dey,K. C. Santosh
Publisher : Springer Nature
Release : 2020
ISBN : 9811565724
Language : En, Es, Fr & De

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Book Description :

This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Computational Modelling and Imaging for SARS CoV 2 and COVID 19

Computational Modelling and Imaging for SARS CoV 2 and COVID 19 Book
Author : S. Prabha,P. Karthikeyan,K. Kamalanand,N. Selvaganesan
Publisher : CRC Press
Release : 2021-09-03
ISBN : 1000439372
Language : En, Es, Fr & De

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Book Description :

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment. The book provides a detailed description of the algorithms which can potentially aid in mass screening of SARS-CoV-2 infected cases. Finally the book also explains the conventional epidemiological models and machine learning techniques for the prediction of the course of the COVID-19 epidemic. It also provides real life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students; researchers; medical scientists working on identifying and tracking infectious diseases.

Understanding COVID 19

Understanding COVID 19 Book
Author : Janmenjoy Nayak
Publisher : Springer Nature
Release : 2021
ISBN : 3030747611
Language : En, Es, Fr & De

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Book Description :

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers. .

Artificial Intelligence and Machine Learning for COVID 19

Artificial Intelligence and Machine Learning for COVID 19 Book
Author : Fadi Al-Turjman
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 3030601889
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence and Machine Learning for COVID 19 book written by Fadi Al-Turjman, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging Book
Author : K.C. Santosh,Nibaran Das,Swarnendu Ghosh
Publisher : Academic Press
Release : 2021-09-17
ISBN : 0128236507
Language : En, Es, Fr & De

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Book Description :

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow ‘with’ and ‘without’ transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation (source codes: available upon request)

Artificial Intelligence for COVID 19

Artificial Intelligence for COVID 19 Book
Author : Diego Oliva
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 3030697444
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence for COVID 19 book written by Diego Oliva, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Deep Learning in Biomedical and Health Informatics

Deep Learning in Biomedical and Health Informatics Book
Author : M. A. Jabbar,Ajith Abraham,Onur Dogan,Ana Maria Madureira,Sanju Tiwari
Publisher : CRC Press
Release : 2021-09-26
ISBN : 1000429083
Language : En, Es, Fr & De

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Book Description :

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing, and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories, techniques, developments, and applications of deep learning, and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists, biomedical engineers, and healthcare professionals researching and developing deep learning techniques. In short, the volume : Discusses the relationship between AI and healthcare, and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr.. M.A. Jabbar is a professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. Prof. (Dr.) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA. Dr.. Onur Dogan is an assistant professor at İzmir Bakırçay University, Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP), Portugal. Dr.. Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas, Mexico.

Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis MICAD 2021

Proceedings of 2021 International Conference on Medical Imaging and Computer Aided Diagnosis  MICAD 2021  Book
Author : Ruidan Su,Yu-Dong Zhang,Han Liu
Publisher : Springer Nature
Release : 2021-08-14
ISBN : 9811638802
Language : En, Es, Fr & De

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Book Description :

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security Book
Author : Dua, Mohit,Jain, Ankit Kumar
Publisher : IGI Global
Release : 2021-05-14
ISBN : 1799833011
Language : En, Es, Fr & De

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Book Description :

The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Computational Modeling and Data Analysis in COVID 19 Research

Computational Modeling and Data Analysis in COVID 19 Research Book
Author : Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Publisher : CRC Press
Release : 2021-05-10
ISBN : 1000384977
Language : En, Es, Fr & De

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Book Description :

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Advanced Machine Learning Technologies and Applications

Advanced Machine Learning Technologies and Applications Book
Author : Aboul-Ella Hassanien
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 3030697177
Language : En, Es, Fr & De

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Book Description :

Download Advanced Machine Learning Technologies and Applications book written by Aboul-Ella Hassanien, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Intelligent Computing Applications for COVID 19

Intelligent Computing Applications for COVID 19 Book
Author : Tanzila Saba,Amjad Rehman Khan
Publisher : CRC Press
Release : 2021-09-08
ISBN : 1000423603
Language : En, Es, Fr & De

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Book Description :

Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic

Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic Book
Author : Mousmi Ajay Chaurasia,Stefan Mozar
Publisher : Springer
Release : 2021-11-14
ISBN : 9789811654107
Language : En, Es, Fr & De

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Book Description :

This book offers concepts related to communication engineering principles to fight the current Covid situation, by developing contactless need-based solutions. COVID-19, a global pandemic makes us rethink how governments, organizations, and societies around the world can work with minimum or without physical contact. Technologies like artificial intelligence and big data are playing an essential role in responding to the COVID-19 pandemic. This book is a combination of chapters related to imaging and detective technologies used by the experts to fight the COVID-19 pandemic and a combination of interesting content covering the need of hour solutions generated through cutting edge technologies. In the absence of a proper medicine or vaccine, it is quite evident that nutrition plays an important role in the quick recovery of covid patients which must be very carefully planned with proper diagnostics. Data analysis and X-Ray/CT Image analysis by next-generation techniques like deep sensing, machine learning is interesting and useful for research and applied healthcare professionals. Research findings with a focus on diagnostics and reports generated through important data analysis in the book are quite useful and can be referred to by researchers and professionals working in the area of cutting-edge technologies against COVID 19.

A Survey on Deep Transfer Learning and Edge Computing for Mitigating the COVID 19 Pandemic

A Survey on Deep Transfer Learning and Edge Computing for Mitigating the COVID 19 Pandemic Book
Author : Abu Su an,Anirudha Ghosh,Ali Safaa Sadiq,Florentin Smarandache
Publisher : Infinite Study
Release : 2021-10-21
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Global Health sometimes faces pandemics as are currently facing COVID-19 disease. The spreading and infection factors of this disease are very high. A huge number of people from most of the countries are infected within six months from its rst report of appearance and it keeps spreading. The required systems are not ready up to some stages for any pandemic; therefore, mitigation with existing capacity becomes necessary. On the other hand, modern-era largely depends on Artificial Intelligence(AI) including Data Science; Deep Learning(DL) is one of the current ag-bearer of these techniques. It could use to mitigate COVID-19 like pandemics in terms of stop spread, diagnosis of the disease, drug & vaccine discovery, treatment, and many more.

Artificial Intelligence for Coronavirus Outbreak

Artificial Intelligence for Coronavirus Outbreak Book
Author : Simon James Fong
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 9811559368
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence for Coronavirus Outbreak book written by Simon James Fong, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Computer Vision and Image Processing

Computer Vision and Image Processing Book
Author : Satish Kumar Singh
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 981161086X
Language : En, Es, Fr & De

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Book Description :

Download Computer Vision and Image Processing book written by Satish Kumar Singh, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Mingxia Liu
Publisher : Springer Nature
Release : 2021-10-21
ISBN : 3030598616
Language : En, Es, Fr & De

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Book Description :

Download Machine Learning in Medical Imaging book written by Mingxia Liu, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.