Artificial Neural Networks In Biomedicine

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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.

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 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.

Neural Networks and Artificial Intelligence for Biomedical Engineering

Author : Donna L. Hudson
Publisher : John Wiley & Sons
ISBN 13 : 0780334043
Total Pages : 337 pages
Book Rating : 4.7/5 (83 download)

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Book Synopsis Neural Networks and Artificial Intelligence for Biomedical Engineering by : Donna L. Hudson

Download or read book Neural Networks and Artificial Intelligence for Biomedical Engineering written by Donna L. Hudson and published by John Wiley & Sons. This book was released on 1999-10-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: Types of neural networks and neural network algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids

Medical Diagnosis Using Artificial Neural Networks

Author : Moein, Sara
Publisher : IGI Global
ISBN 13 : 146666147X
Total Pages : 310 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 310 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.

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Author : Annamalai Suresh
Publisher : Medical Information Science Reference
ISBN 13 : 9781799835936
Total Pages : 294 pages
Book Rating : 4.8/5 (359 download)

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Book Synopsis Deep Neural Networks for Multimodal Imaging and Biomedical Applications by : Annamalai Suresh

Download or read book Deep Neural Networks for Multimodal Imaging and Biomedical Applications written by Annamalai Suresh and published by Medical Information Science Reference. This book was released on 2020 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

Author : Francesco Masulli
Publisher : World Scientific
ISBN 13 : 9814551538
Total Pages : 417 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association by : Francesco Masulli

Download or read book Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association written by Francesco Masulli and published by World Scientific. This book was released on 1994-10-24 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods based on neural networks are assuming an increasing role in biomedical research. This book presents an introduction to the application of neural networks and related areas of artificial intelligence to biological structure analysis, biomedical images understanding, electrophysiologic signal analysis and other stimulating issues of biomedicine.This book, which will include the latest advances and developments in the field, will be of value to researchers in neural networks and biomedicine.

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.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799884570
Total Pages : 394 pages
Book Rating : 4.7/5 (998 download)

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

Download or read book Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning written by Segall, Richard S. and published by IGI Global. This book was released on 2022-01-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

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

Author : R. N. G. Naguib
Publisher : CRC Press
ISBN 13 : 1420036386
Total Pages : 216 pages
Book Rating : 4.4/5 (2 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 216 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

Handbook on Neural Information Processing

Author : Monica Bianchini
Publisher : Springer Science & Business Media
ISBN 13 : 3642366570
Total Pages : 547 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Handbook on Neural Information Processing by : Monica Bianchini

Download or read book Handbook on Neural Information Processing written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2013-04-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

Deep Learning for Biomedical Applications

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1000406423
Total Pages : 364 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning for Biomedical Applications by : Utku Kose

Download or read book Deep Learning for Biomedical Applications written by Utku Kose and published by CRC Press. This book was released on 2021-07-20 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

Clinical Applications of Artificial Neural Networks

Author : Richard Dybowski
Publisher : Cambridge University Press
ISBN 13 : 0521001331
Total Pages : 0 pages
Book Rating : 4.5/5 (21 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 with total page 0 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.

Artificial Neural Network for Drug Design, Delivery and Disposition

Author : Munish Puri
Publisher : Academic Press
ISBN 13 : 0128017449
Total Pages : 440 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Artificial Neural Network for Drug Design, Delivery and Disposition by : Munish Puri

Download or read book Artificial Neural Network for Drug Design, Delivery and Disposition written by Munish Puri and published by Academic Press. This book was released on 2015-10-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Network for Drug Design, Delivery and Disposition provides an in-depth look at the use of artificial neural networks (ANN) in pharmaceutical research. With its ability to learn and self-correct in a highly complex environment, this predictive tool has tremendous potential to help researchers more effectively design, develop, and deliver successful drugs. This book illustrates how to use ANN methodologies and models with the intent to treat diseases like breast cancer, cardiac disease, and more. It contains the latest cutting-edge research, an analysis of the benefits of ANN, and relevant industry examples. As such, this book is an essential resource for academic and industry researchers across the pharmaceutical and biomedical sciences. Written by leading academic and industry scientists who have contributed significantly to the field and are at the forefront of artificial neural network (ANN) research Focuses on ANN in drug design, discovery and delivery, as well as adopted methodologies and their applications to the treatment of various diseases and disorders Chapters cover important topics across the pharmaceutical process, such as ANN in structure-based drug design and the application of ANN in modern drug discovery Presents the future potential of ANN-based strategies in biomedical image analysis and much more

Applications of Artificial Intelligence in Healthcare and Biomedicine

Author : Abdulhamit Subasi
Publisher : Elsevier
ISBN 13 : 0443223092
Total Pages : 550 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Applications of Artificial Intelligence in Healthcare and Biomedicine by : Abdulhamit Subasi

Download or read book Applications of Artificial Intelligence in Healthcare and Biomedicine written by Abdulhamit Subasi and published by Elsevier. This book was released on 2024-03-22 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: ??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. Provides knowledge on Artificial Intelligence algorithms for clinical data analysis Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery Equips researchers with tools for early breast cancer detection

Clinical Applications of Artificial Neural Networks

Author : Richard Dybowski
Publisher :
ISBN 13 : 9781139130097
Total Pages : 368 pages
Book Rating : 4.1/5 (3 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.

Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Author : E. Golden Julie
Publisher : CRC Press
ISBN 13 : 1000370453
Total Pages : 344 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Handbook of Deep Learning in Biomedical Engineering and Health Informatics by : E. Golden Julie

Download or read book Handbook of Deep Learning in Biomedical Engineering and Health Informatics written by E. Golden Julie and published by CRC Press. This book was released on 2021-09-22 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. This volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Key features: Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students.