Clinical Applications Of Artificial Neural Networks

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Clinical Applications of Artificial Neural Networks

Author : Richard Dybowski
Publisher : Cambridge University Press
ISBN 13 : 0521662710
Total Pages : 382 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis Clinical Applications of Artificial Neural Networks by : Richard Dybowski

Download or read book Clinical Applications of Artificial Neural Networks written by Richard Dybowski and published by Cambridge University Press. This book was released on 2001-08-09 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this cutting-edge volume. In addition to looking at new and forthcoming applications the book looks forward to exciting future prospects on the horizon. The volume also examines ethical and legal concerns about the use of "black-box" systems as decision aids in medicine. This eclectic collection of chapters provides an exciting overview of current and future prospects for harnessing the power of artificial neural networks in the investigation and treatment of disease.

Clinical Applications of Artificial Neural Networks

Author : Richard Dybowski
Publisher :
ISBN 13 : 9781107173200
Total Pages : 368 pages
Book Rating : 4.1/5 (732 download)

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Book Synopsis Clinical Applications of Artificial Neural Networks by : Richard Dybowski

Download or read book Clinical Applications of Artificial Neural Networks written by Richard Dybowski and published by . This book was released on 2001 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes the power of artificial neural networks in the investigation and treatment of disease.

Medical Diagnosis Using Artificial Neural Networks

Author : Moein, Sara
Publisher : IGI Global
ISBN 13 : 146666147X
Total Pages : 326 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Medical Diagnosis Using Artificial Neural Networks by : Moein, Sara

Download or read book Medical Diagnosis Using Artificial Neural Networks written by Moein, Sara and published by IGI Global. This book was released on 2014-06-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Author : Richard Segall
Publisher : Engineering Science Reference
ISBN 13 : 9781799884552
Total Pages : pages
Book Rating : 4.8/5 (845 download)

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Book Synopsis Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by : Richard Segall

Download or read book Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning written by Richard Segall and published by Engineering Science Reference. This book was released on 2021-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers applications of artificial neural networks (ANN) and machine learning (ML) aspects of artificial intelligence to applications to the biomedical and business world including their interface to applications for screening for diseases to applications to large-scale credit card purchasing patterns"--

Research Anthology on Artificial Neural Network Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668424096
Total Pages : 1575 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Artificial Neural Network Applications by : Management Association, Information Resources

Download or read book Research Anthology on Artificial Neural Network Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-07-16 with total page 1575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Artificial Neural Networks

Author : Kenji Suzuki
Publisher : BoD – Books on Demand
ISBN 13 : 9533072431
Total Pages : 378 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Artificial Neural Networks by : Kenji Suzuki

Download or read book Artificial Neural Networks written by Kenji Suzuki and published by BoD – Books on Demand. This book was released on 2011-04-11 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas. The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The book begins with fundamentals of artificial neural networks, which cover an introduction, design, and optimization. Advanced architectures for biomedical applications, which offer improved performance and desirable properties, follow. Parts continue with biological applications such as gene, plant biology, and stem cell, medical applications such as skin diseases, sclerosis, anesthesia, and physiotherapy, and clinical and other applications such as clinical outcome, telecare, and pre-med student failure prediction. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in biomedical areas. The target audience includes professors and students in engineering and medical schools, researchers and engineers in biomedical industries, medical doctors, and healthcare professionals.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

State of the Art in Neural Networks and Their Applications

Author : Ayman S. El-Baz
Publisher : Academic Press
ISBN 13 : 0128218495
Total Pages : 326 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis State of the Art in Neural Networks and Their Applications by : Ayman S. El-Baz

Download or read book State of the Art in Neural Networks and Their Applications written by Ayman S. El-Baz and published by Academic Press. This book was released on 2021-07-21 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions including renal, retinal, breast, skin, and dental abnormalities, Medical Image Analysis, as well as detection, segmentation, and classification via AI

Artificial Neural Networks in Biomedicine

Author : Paulo J.G. Lisboa
Publisher : Springer Science & Business Media
ISBN 13 : 9781852330057
Total Pages : 314 pages
Book Rating : 4.3/5 (3 download)

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Book Synopsis Artificial Neural Networks in Biomedicine by : Paulo J.G. Lisboa

Download or read book Artificial Neural Networks in Biomedicine written by Paulo J.G. Lisboa and published by Springer Science & Business Media. This book was released on 2000-02-02 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. Artificial Neural Networks in Biomedicine will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.

Neural Networks in Healthcare: Potential and Challenges

Author : Begg, Rezaul
Publisher : IGI Global
ISBN 13 : 1591408504
Total Pages : 332 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Neural Networks in Healthcare: Potential and Challenges by : Begg, Rezaul

Download or read book Neural Networks in Healthcare: Potential and Challenges written by Begg, Rezaul and published by IGI Global. This book was released on 2006-01-31 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers state-of-the-art applications in many areas of medicine and healthcare"--Provided by publisher.

Applications of Artificial Intelligence in Medical Imaging

Author : Abdulhamit Subasi
Publisher : Academic Press
ISBN 13 : 0443184518
Total Pages : 381 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Applications of Artificial Intelligence in Medical Imaging by : Abdulhamit Subasi

Download or read book Applications of Artificial Intelligence in Medical Imaging written by Abdulhamit Subasi and published by Academic Press. This book was released on 2022-11-10 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Artificial Neural Networks in Medicine and Biology

Author : H. Malmgren
Publisher : Springer Science & Business Media
ISBN 13 : 1447105133
Total Pages : 339 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Artificial Neural Networks in Medicine and Biology by : H. Malmgren

Download or read book Artificial Neural Networks in Medicine and Biology written by H. Malmgren and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.

Clinical Applications of Artificial Intelligence in Real-World Data

Author : Folkert W. Asselbergs
Publisher : Springer Nature
ISBN 13 : 3031366786
Total Pages : 279 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Clinical Applications of Artificial Intelligence in Real-World Data by : Folkert W. Asselbergs

Download or read book Clinical Applications of Artificial Intelligence in Real-World Data written by Folkert W. Asselbergs and published by Springer Nature. This book was released on 2023-11-04 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

Author : R. N. G. Naguib
Publisher : CRC Press
ISBN 13 : 1000654052
Total Pages : 192 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management by : R. N. G. Naguib

Download or read book Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management written by R. N. G. Naguib and published by CRC Press. This book was released on 2001-06-22 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research and case studies can be found scattered throughout a multitude of journals. Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers - primaril

Artificial Neural Networks in Biomedicine

Author : Paulo J.G. Lisboa
Publisher : Springer Science & Business Media
ISBN 13 : 1447104870
Total Pages : 290 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Artificial Neural Networks in Biomedicine by : Paulo J.G. Lisboa

Download or read book Artificial Neural Networks in Biomedicine written by Paulo J.G. Lisboa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers.

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.

Convolutional Neural Networks for Medical Applications

Author : Teik Toe Teoh
Publisher : Springer Nature
ISBN 13 : 9811988145
Total Pages : 103 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Convolutional Neural Networks for Medical Applications by : Teik Toe Teoh

Download or read book Convolutional Neural Networks for Medical Applications written by Teik Toe Teoh and published by Springer Nature. This book was released on 2023-03-23 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.