Artificial Neural Networks In Biomedicine

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Artificial Neural Networks in Biomedicine

Paulo J.G. Lisboa,Emmanuel C. Ifeachor,Piotr S. Szczepaniak
Artificial Neural Networks in Biomedicine Book PDF

Author : Paulo J.G. Lisboa,Emmanuel C. Ifeachor,Piotr S. Szczepaniak
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104872

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Artificial Neural Networks in Biomedicine by Paulo J.G. Lisboa,Emmanuel C. Ifeachor,Piotr S. Szczepaniak Pdf

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.

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

Francesco Masulli,Andrea Schenone,Pietro G Morasso
Neural Networks In Biomedicine Proceedings Of The Advanced School Of The Italian Bromedical Physics Association Book PDF

Author : Francesco Masulli,Andrea Schenone,Pietro G Morasso
Publisher : World Scientific
Page : 417 pages
File Size : 51,5 Mb
Release : 1994-10-24
Category : Electronic
ISBN : 9789814551533

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Neural Networks In Biomedicine - Proceedings Of The Advanced School Of The Italian Bromedical Physics Association by Francesco Masulli,Andrea Schenone,Pietro G Morasso Pdf

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 and Artificial Intelligence for Biomedical Engineering

Donna L. Hudson,Maurice E. Cohen
Neural Networks and Artificial Intelligence for Biomedical Engineering Book PDF

Author : Donna L. Hudson,Maurice E. Cohen
Publisher : John Wiley & Sons
Page : 337 pages
File Size : 47,7 Mb
Release : 1999-10-08
Category : Computers
ISBN : 9780780334045

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Neural Networks and Artificial Intelligence for Biomedical Engineering by Donna L. Hudson,Maurice E. Cohen Pdf

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

Applications of Artificial Intelligence in Healthcare and Biomedicine

Abdulhamit Subasi
Applications of Artificial Intelligence in Healthcare and Biomedicine Book PDF

Author : Abdulhamit Subasi
Publisher : Elsevier
Page : 550 pages
File Size : 47,7 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9780443223099

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Applications of Artificial Intelligence in Healthcare and Biomedicine by Abdulhamit Subasi Pdf

??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

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

R. N. G. Naguib,G. V. Sherbet
Artificial Neural Networks in Cancer Diagnosis Prognosis and Patient Management Book PDF

Author : R. N. G. Naguib,G. V. Sherbet
Publisher : CRC Press
Page : 216 pages
File Size : 48,7 Mb
Release : 2001-06-22
Category : Medical
ISBN : 9781420036381

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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management by R. N. G. Naguib,G. V. Sherbet Pdf

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 of Deep Learning in Biomedical Engineering and Health Informatics

E. Golden Julie,Y. Harold Robinson,S. M. Jaisakthi
Handbook of Deep Learning in Biomedical Engineering and Health Informatics Book PDF

Author : E. Golden Julie,Y. Harold Robinson,S. M. Jaisakthi
Publisher : CRC Press
Page : 344 pages
File Size : 52,5 Mb
Release : 2021-09-22
Category : Medical
ISBN : 9781000370454

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Handbook of Deep Learning in Biomedical Engineering and Health Informatics by E. Golden Julie,Y. Harold Robinson,S. M. Jaisakthi Pdf

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.

Applications of Neural Networks in Environment, Energy and Health

P E Keller,L J Kangas,S Hashem,R T Kouzes
Applications of Neural Networks in Environment Energy and Health Book PDF

Author : P E Keller,L J Kangas,S Hashem,R T Kouzes
Publisher : World Scientific
Page : 240 pages
File Size : 51,9 Mb
Release : 1996-07-04
Category : Electronic
ISBN : 9789814547543

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Applications of Neural Networks in Environment, Energy and Health by P E Keller,L J Kangas,S Hashem,R T Kouzes Pdf

This book contains the proceedings of the Workshop on Environmental and Energy Applications of Neural Networks. The purpose of this workshop was to provide a forum for discussing environmental, energy, and biomedical applications of neural networks. The applications covered in these proceedings include modeling and predicting soil, air and water pollution; waste reduction; environmental sensing; spectroscopy; hazardous waste handling and cleanup; environmental monitoring of power plants; process monitoring and optimization of power systems; modeling and control of power plants; power load forecasting; fault location and diagnosis of power systems; medical image and signal analysis; medical diagnosis; analysis of environmental health effects; health insurance, and modeling biological systems. Contents:Neural Network Models: Insights and Prescriptions from Practical ApplicationsPrediction Horizon Effects on Stochastic Modeling Hints for Neural NetworksNeural Network Analysis for Hazardous Waste CharacterizationNeural Networks for Nuclear SpectroscopyNeural Network Utility in Nondestructive Transuranic Waste Assay, Initial InvestigationsApplication of Neural Networks to Determine Moisture Content on Humidity–Attenuated Near Infrared SpectraFluorescent Diagnostics of Organic Pollution in Natural Walters: A Neural Network Approach; Reliability and Risk Analysis Using Artificial Neural NetworksElectronic Noses and Their Applications in Environmental MonitoringApplication of Computational Neural Networks in Predicting Atmospheric Pollutant Concentrations Due to Fossil–Fired Electric Power Generationand other papers. Readership: Researchers in neural networks. keywords:

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Segall, Richard S.,Niu, Gao
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Book PDF

Author : Segall, Richard S.,Niu, Gao
Publisher : IGI Global
Page : 394 pages
File Size : 44,9 Mb
Release : 2022-01-07
Category : Computers
ISBN : 9781799884576

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Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by Segall, Richard S.,Niu, Gao Pdf

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.

Neural Networks in Healthcare: Potential and Challenges

Begg, Rezaul,Kamruzzaman, Joarder,Sarker, Ruhul
Neural Networks in Healthcare Potential and Challenges Book PDF

Author : Begg, Rezaul,Kamruzzaman, Joarder,Sarker, Ruhul
Publisher : IGI Global
Page : 332 pages
File Size : 49,8 Mb
Release : 2006-01-31
Category : Medical
ISBN : 9781591408505

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Neural Networks in Healthcare: Potential and Challenges by Begg, Rezaul,Kamruzzaman, Joarder,Sarker, Ruhul Pdf

"This book covers state-of-the-art applications in many areas of medicine and healthcare"--Provided by publisher.

Methods and Procedures for the Verification and Validation of Artificial Neural Networks

Brian J. Taylor
Methods and Procedures for the Verification and Validation of Artificial Neural Networks Book PDF

Author : Brian J. Taylor
Publisher : Springer Science & Business Media
Page : 280 pages
File Size : 42,7 Mb
Release : 2006-03-20
Category : Computers
ISBN : 9780387294858

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Methods and Procedures for the Verification and Validation of Artificial Neural Networks by Brian J. Taylor Pdf

Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.

Computational Intelligence Processing in Medical Diagnosis

Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain
Computational Intelligence Processing in Medical Diagnosis Book PDF

Author : Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain
Publisher : Physica
Page : 513 pages
File Size : 43,8 Mb
Release : 2013-11-11
Category : Medical
ISBN : 9783790817881

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Computational Intelligence Processing in Medical Diagnosis by Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain Pdf

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

Proceedings of the 4th International Conference on Computer Engineering and Networks

W. Eric Wong
Proceedings of the 4th International Conference on Computer Engineering and Networks Book PDF

Author : W. Eric Wong
Publisher : Springer
Page : 1305 pages
File Size : 41,5 Mb
Release : 2015-01-06
Category : Technology & Engineering
ISBN : 9783319111049

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Proceedings of the 4th International Conference on Computer Engineering and Networks by W. Eric Wong Pdf

This book aims to examine innovation in the fields of computer engineering and networking. The book covers important emerging topics in computer engineering and networking, and it will help researchers and engineers improve their knowledge of state-of-art in related areas. The book presents papers from the 4th International Conference on Computer Engineering and Networks (CENet2014) held July 19-20, 2014 in Shanghai, China.

Neural Networks

Berndt Müller,Joachim Reinhardt,Michael T. Strickland
Neural Networks Book PDF

Author : Berndt Müller,Joachim Reinhardt,Michael T. Strickland
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642577604

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Neural Networks by Berndt Müller,Joachim Reinhardt,Michael T. Strickland Pdf

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Deep Learning for Biomedical Data Analysis

Mourad Elloumi
Deep Learning for Biomedical Data Analysis Book PDF

Author : Mourad Elloumi
Publisher : Springer Nature
Page : 358 pages
File Size : 44,9 Mb
Release : 2021-07-13
Category : Medical
ISBN : 9783030716769

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Deep Learning for Biomedical Data Analysis by Mourad Elloumi Pdf

This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI)

Aditya Khamparia,Deepak Gupta,Ashish Khanna,Valentina E. Balas
Biomedical Data Analysis and Processing Using Explainable XAI and Responsive Artificial Intelligence RAI Book PDF

Author : Aditya Khamparia,Deepak Gupta,Ashish Khanna,Valentina E. Balas
Publisher : Springer Nature
Page : 148 pages
File Size : 50,6 Mb
Release : 2022-04-09
Category : Technology & Engineering
ISBN : 9789811914768

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Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) by Aditya Khamparia,Deepak Gupta,Ashish Khanna,Valentina E. Balas Pdf

The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.