Deep Convolutional Neural Network For The Prognosis Of Diabetic Retinopathy

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Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy

Author : A. Shanthini
Publisher : Springer Nature
ISBN 13 : 9811938776
Total Pages : 80 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy by : A. Shanthini

Download or read book Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy written by A. Shanthini and published by Springer Nature. This book was released on 2022-08-23 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.

Geriatric Ophthalmology

Author : Andrew G. Lee
Publisher : Springer Science & Business Media
ISBN 13 : 1441900144
Total Pages : 128 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Geriatric Ophthalmology by : Andrew G. Lee

Download or read book Geriatric Ophthalmology written by Andrew G. Lee and published by Springer Science & Business Media. This book was released on 2010-07-07 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the Baby Boom generation ages, an increased need for geriatric specialty care becomes particularly important. This shift will especially affect ophthalmology, as the occurrence of common visual disorders such as cataracts, macular degeneration, glaucoma and diabetic retinopathy increases with age. This book anticipates this pending and inevitable demographic shift and fulfills the need for a practical, "bread-and-butter" approach to Geriatric Ophthalmology.

Artificial Intelligence in Ophthalmology

Author : Andrzej Grzybowski
Publisher : Springer Nature
ISBN 13 : 3030786013
Total Pages : 280 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence in Ophthalmology by : Andrzej Grzybowski

Download or read book Artificial Intelligence in Ophthalmology written by Andrzej Grzybowski and published by Springer Nature. This book was released on 2021-10-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.

Diabetic Retinopathy and Cardiovascular Disease

Author : C. Sabanayagam
Publisher : Karger Medical and Scientific Publishers
ISBN 13 : 3318065072
Total Pages : 143 pages
Book Rating : 4.3/5 (18 download)

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Book Synopsis Diabetic Retinopathy and Cardiovascular Disease by : C. Sabanayagam

Download or read book Diabetic Retinopathy and Cardiovascular Disease written by C. Sabanayagam and published by Karger Medical and Scientific Publishers. This book was released on 2019-06-03 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetic retinopathy (DR), a common microvascular complication, has consistently been shown to be associated with an increased risk of cardiovascular disease (CVD). This book provides complete coverage of DR as a potential marker for CVD in those with diabetes. It succinctly reviews the epidemiological and pathogenic links of DR to various cardiovascular events including stroke, coronary artery disease, chronic kidney disease, heart failure, and mortality. Furthermore, it discusses the usefulness of DR in CVD risk prediction and cardiovascular safety of anti-VEGF therapy in diabetic patients. There are insights from contemporary diabetic trials that demonstrated the enhanced cardiovascular benefit of novel glucose lowering therapy. It also highlights the potential of novel retinal imaging to predict CVD and its risk factors using the state-of-the art artificial intelligence-based deep learning systems. This book will be an invaluable resource for specialists translating research findings into clinical care, including those in cardiology, endocrinology, ophthalmology, and general practitioners. IT will also be of interest to public health practitioners, researchers, graduate students, and biotech companies interested in developing retinal image-based diagnostic and prognostic tools.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services

Author : Wason, Ritika
Publisher : IGI Global
ISBN 13 : 1799821021
Total Pages : 248 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Deep Learning and Big IoT on Personalized Healthcare Services by : Wason, Ritika

Download or read book Applications of Deep Learning and Big IoT on Personalized Healthcare Services written by Wason, Ritika and published by IGI Global. This book was released on 2020-02-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

Advances on Smart and Soft Computing

Author : Faisal Saeed
Publisher : Springer Nature
ISBN 13 : 981156048X
Total Pages : 640 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances on Smart and Soft Computing by : Faisal Saeed

Download or read book Advances on Smart and Soft Computing written by Faisal Saeed and published by Springer Nature. This book was released on 2020-10-19 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020), held in Casablanca, Morocco, on April 12–13, 2020. It covers a range of topics, including artificial intelligence technologies and applications, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Author : Le Lu
Publisher : Springer
ISBN 13 : 331942999X
Total Pages : 327 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Deep Learning and Convolutional Neural Networks for Medical Image Computing by : Le Lu

Download or read book Deep Learning and Convolutional Neural Networks for Medical Image Computing written by Le Lu and published by Springer. This book was released on 2017-07-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.

Deep Learning in Medical Image Analysis

Author : Gobert Lee
Publisher : Springer Nature
ISBN 13 : 3030331288
Total Pages : 184 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Deep Learning in Medical Image Analysis by : Gobert Lee

Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Deep Learning Applications in Medical Imaging

Author : Saxena, Sanjay
Publisher : IGI Global
ISBN 13 : 1799850722
Total Pages : 274 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning Applications in Medical Imaging by : Saxena, Sanjay

Download or read book Deep Learning Applications in Medical Imaging written by Saxena, Sanjay and published by IGI Global. This book was released on 2020-10-16 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Artificial Intelligence in Medical Imaging

Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 369 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Artificial Intelligence and Speech Technology

Author : Amita Dev
Publisher :
ISBN 13 : 9783030957124
Total Pages : 0 pages
Book Rating : 4.9/5 (571 download)

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Book Synopsis Artificial Intelligence and Speech Technology by : Amita Dev

Download or read book Artificial Intelligence and Speech Technology written by Amita Dev and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.

Advances in Additive Manufacturing Technologies

Author : P Gurusamy
Publisher : CRC Press
ISBN 13 : 1040225071
Total Pages : 603 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Advances in Additive Manufacturing Technologies by : P Gurusamy

Download or read book Advances in Additive Manufacturing Technologies written by P Gurusamy and published by CRC Press. This book was released on 2024-11-25 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are delighted to present the proceedings of the 5th International Conference on Advances in Additive Manufacturing Technologies (ICAAMT 2023). This conference serves as a premier forum for researchers, practitioners, and industry experts to share their latest findings, innovations, and insights in the field of additive manufacturing. The rapid advancements and the increasing adoption of these technologies across various sectors underscore the importance of this gathering. The conference was held from November 27-29, 2023, in Chennai, India and organized by the Department of Mechanical Engineering, Chennai Institute of Technology, Chennai, India.

Proceedings of International Conference on Deep Learning, Computing and Intelligence

Author : Gunasekaran Manogaran
Publisher : Springer Nature
ISBN 13 : 9811656525
Total Pages : 698 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of International Conference on Deep Learning, Computing and Intelligence by : Gunasekaran Manogaran

Download or read book Proceedings of International Conference on Deep Learning, Computing and Intelligence written by Gunasekaran Manogaran and published by Springer Nature. This book was released on 2022-04-26 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.

Handbook of Research on Applied Intelligence for Health and Clinical Informatics

Author : Thakare, Anuradha Dheeraj
Publisher : IGI Global
ISBN 13 : 1799877108
Total Pages : 470 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied Intelligence for Health and Clinical Informatics by : Thakare, Anuradha Dheeraj

Download or read book Handbook of Research on Applied Intelligence for Health and Clinical Informatics written by Thakare, Anuradha Dheeraj and published by IGI Global. This book was released on 2021-10-22 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.

Hybrid Information Systems

Author : Ramakant Bhardwaj
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311133113X
Total Pages : 520 pages
Book Rating : 4.1/5 (113 download)

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Book Synopsis Hybrid Information Systems by : Ramakant Bhardwaj

Download or read book Hybrid Information Systems written by Ramakant Bhardwaj and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-07-22 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.

Challenges and Solutions for Sustainable Smart City Development

Author : R. Maheswar
Publisher : Springer Nature
ISBN 13 : 3030701832
Total Pages : 285 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Challenges and Solutions for Sustainable Smart City Development by : R. Maheswar

Download or read book Challenges and Solutions for Sustainable Smart City Development written by R. Maheswar and published by Springer Nature. This book was released on 2021-05-22 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses advances in smart and sustainable development of smart environments. The authors discuss the challenges faced in developing sustainable smart applications and provide potential solutions. The solutions are aimed at improving reliability and security with the goal of affordability, safety, and durability. Topics include health care applications, sustainable smart transportation systems, intelligent sustainable wearable electronics, and sustainable smart building and alert systems. Authors are from both industry and academia and present research from around the world. Addresses problems and solutions for sustainable development of smart cities; Includes applications such as healthcare, transportation, wearables, security, and more; Relevant for scientist and researchers working on real time smart city development.

Anti-Angiogenic Therapy in Ophthalmology

Author : Andreas Stahl
Publisher : Springer
ISBN 13 : 3319240978
Total Pages : 198 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Anti-Angiogenic Therapy in Ophthalmology by : Andreas Stahl

Download or read book Anti-Angiogenic Therapy in Ophthalmology written by Andreas Stahl and published by Springer. This book was released on 2016-05-13 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise overview over the pathology of retinal angiogenic diseases and explains why anti-angiogenic therapy is effective in so many patients. The reader is guided through the various clinical indications for anti-angiogenic therapy and made aware of its merits as well as current challenges and limitations. It is explained how, since its introduction for the treatment of exudative age-related macular degeneration in 2006, anti-angiogenic therapy has revolutionized the way in which we treat a range of ocular diseases. All of the authors are established experts in their respective fields who share their extensive knowledge and clinical experience with the reader. This book is both a valuable introduction to anti-angiogenic therapy in ophthalmology and a day-to-day companion for all ophthalmologists seeing patients with some of the most prevalent retinal diseases.