Advancing Artificial Intelligence Through Biological Process Applications

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Advancing Artificial Intelligence through Biological Process Applications

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Author : Porto Pazos, Ana B.
Publisher : IGI Global
ISBN 13 : 159904997X
Total Pages : 460 pages
Book Rating : 4.5/5 (99 download)

Book Synopsis Advancing Artificial Intelligence through Biological Process Applications by : Porto Pazos, Ana B.

Download or read book Advancing Artificial Intelligence through Biological Process Applications written by Porto Pazos, Ana B. and published by IGI Global. This book was released on 2008-07-31 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence. Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

Advanced AI Techniques and Applications in Bioinformatics

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Author : Loveleen Gaur
Publisher : CRC Press
ISBN 13 : 100046301X
Total Pages : 220 pages
Book Rating : 4.0/5 (4 download)

Book Synopsis Advanced AI Techniques and Applications in Bioinformatics by : Loveleen Gaur

Download or read book Advanced AI Techniques and Applications in Bioinformatics written by Loveleen Gaur and published by CRC Press. This book was released on 2021-10-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Artificial Intelligence in Healthcare

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

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

Advances in Artificial Intelligence, Computation, and Data Science

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Author : Tuan D. Pham
Publisher : Springer Nature
ISBN 13 : 303069951X
Total Pages : 373 pages
Book Rating : 4.0/5 (36 download)

Book Synopsis Advances in Artificial Intelligence, Computation, and Data Science by : Tuan D. Pham

Download or read book Advances in Artificial Intelligence, Computation, and Data Science written by Tuan D. Pham and published by Springer Nature. This book was released on 2021-07-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

Advancement of Data Processing Methods for Artificial and Computing Intelligence

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Author : Seema Rawat
Publisher : CRC Press
ISBN 13 : 1003810950
Total Pages : 431 pages
Book Rating : 4.0/5 (38 download)

Book Synopsis Advancement of Data Processing Methods for Artificial and Computing Intelligence by : Seema Rawat

Download or read book Advancement of Data Processing Methods for Artificial and Computing Intelligence written by Seema Rawat and published by CRC Press. This book was released on 2024-04-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People's perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us. Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.

Artificial Intelligence in Drug Discovery

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Author : Nathan Brown
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160543
Total Pages : 425 pages
Book Rating : 4.8/5 (391 download)

Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown

Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

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Author : Alonso, Eduardo
Publisher : IGI Global
ISBN 13 : 1609600231
Total Pages : 396 pages
Book Rating : 4.6/5 (96 download)

Book Synopsis Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications by : Alonso, Eduardo

Download or read book Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications written by Alonso, Eduardo and published by IGI Global. This book was released on 2010-11-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition

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Author : V. K. Mago
Publisher :
ISBN 13 : 9781613504314
Total Pages : 754 pages
Book Rating : 4.5/5 (43 download)

Book Synopsis Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition by : V. K. Mago

Download or read book Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition written by V. K. Mago and published by . This book was released on 2012 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems, discussing advances in and applications of pattern recognition technologies and artificial intelligence"--

Novel AI Applications for Advancing Earth Sciences

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Author : Yadav, Sudesh
Publisher : IGI Global
ISBN 13 :
Total Pages : 428 pages
Book Rating : 4.3/5 (693 download)

Book Synopsis Novel AI Applications for Advancing Earth Sciences by : Yadav, Sudesh

Download or read book Novel AI Applications for Advancing Earth Sciences written by Yadav, Sudesh and published by IGI Global. This book was released on 2023-12-29 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences. This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency.

Applications of Machine Learning and Deep Learning on Biological Data

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Author : Faheem Masoodi
Publisher : CRC Press
ISBN 13 : 1000833798
Total Pages : 233 pages
Book Rating : 4.0/5 (8 download)

Book Synopsis Applications of Machine Learning and Deep Learning on Biological Data by : Faheem Masoodi

Download or read book Applications of Machine Learning and Deep Learning on Biological Data written by Faheem Masoodi and published by CRC Press. This book was released on 2023-03-13 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms. Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment. Highlights include: Artificial Intelligence in treating and diagnosing schizophrenia An analysis of ML’s and DL’s financial effect on healthcare An XGBoost-based classification method for breast cancer classification Using ML to predict squamous diseases ML and DL applications in genomics and proteomics Applying ML and DL to biological data

Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence

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Author : Jamal Mabrouki
Publisher : Springer Nature
ISBN 13 : 3031508602
Total Pages : 343 pages
Book Rating : 4.0/5 (315 download)

Book Synopsis Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence by : Jamal Mabrouki

Download or read book Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence written by Jamal Mabrouki and published by Springer Nature. This book was released on with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Healthy Longevity

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Author : Alexey Moskalev
Publisher : Springer Nature
ISBN 13 : 3031351762
Total Pages : 328 pages
Book Rating : 4.0/5 (313 download)

Book Synopsis Artificial Intelligence for Healthy Longevity by : Alexey Moskalev

Download or read book Artificial Intelligence for Healthy Longevity written by Alexey Moskalev and published by Springer Nature. This book was released on 2023-07-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications. The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population. The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools.

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

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Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3540859845
Total Pages : 1277 pages
Book Rating : 4.5/5 (48 download)

Book Synopsis Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence by : De-Shuang Huang

Download or read book Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence written by De-Shuang Huang and published by Springer. This book was released on 2008-09-08 with total page 1277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Genomic Biointelligence

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Author : Edenilson Brandl
Publisher : Edenilson Brandl
ISBN 13 :
Total Pages : 267 pages
Book Rating : 4./5 ( download)

Book Synopsis Genomic Biointelligence by : Edenilson Brandl

Download or read book Genomic Biointelligence written by Edenilson Brandl and published by Edenilson Brandl. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is with great enthusiasm that I present to you the book "Genomic Biointelligence". This book is a fascinating journey through the ever-evolving world of genomics and artificial intelligence, exploring their intersection and the role of the genomic biointelligence within this context. Genomics has revolutionized our understanding of the genetic code and brought with it a vast volume of data that challenges our ability to analyze and interpret. On the other hand, artificial intelligence has emerged as a powerful tool to deal with this complexity and extract valuable information from genomic data. Within the pages of this book, you will be guided on a comprehensive journey through key topics related to the application of artificial intelligence in genomics. From the history and evolution of artificial intelligence in genomics research to the latest applications in diagnostics, drug discovery, precision medicine and disease research, each chapter presents an important aspect of this rapidly expanding field. You will learn about genetic algorithms and their application in genomics, mathematical modeling of genomic regulatory networks, the use of neural networks in predicting protein structures, and much more. We will also discuss the challenges and limitations of using artificial intelligence in genomics, as well as ethical issues and the importance of data privacy. In addition, we will highlight the fundamental role of the genomic biointelligencist, a multidisciplinary professional who combines knowledge in genomics, artificial intelligence, bioinformatics and other related areas. The genomic biointelligence plays a crucial role in applying artificial intelligence to advance genomic research, discover new treatments, develop personalized therapies, and drive precision medicine. As we progress through this book, you will be invited to explore recent advances and the exciting possibilities that arise from the combination of genomics and artificial intelligence. Through practical examples, case studies and in-depth discussions, we hope to provide you with a solid understanding of the concepts and applications of this rapidly expanding field. Finally, I would like to express my gratitude to all the experts and researchers who contributed their unique knowledge and insights to this book. Their efforts and dedication are instrumental in advancing the field of genomics and artificial intelligence. I hope you will find this book a valuable source of information and inspiration. May it arouse your curiosity, stimulate discussions and motivate you to further explore the frontiers of knowledge in the field of genomics and artificial intelligence.

Advanced Photonics Methods for Biomedical Applications

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Author : Edik Rafailov
Publisher : CRC Press
ISBN 13 : 1000880095
Total Pages : 186 pages
Book Rating : 4.0/5 (8 download)

Book Synopsis Advanced Photonics Methods for Biomedical Applications by : Edik Rafailov

Download or read book Advanced Photonics Methods for Biomedical Applications written by Edik Rafailov and published by CRC Press. This book was released on 2023-07-31 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced photonics methods for biomedical applications give researchers in universities and industries, and clinicians an overview of the novel tools for cancer diagnostics and treatment. This book provides researchers and professionals in the area of biomedical photonics with a toolbox of novel methodologies for biomedical applications, including health diagnostics, cancer detection, and treatment. It covers the theory, modeling, and design of each method, alongside their applications, fabrication, characterization, and measurements in clinical practice. A wide scope of concepts concerning innovative science and technologies of medicine will be covered, providing the readers with the latest research, developments, and technologies. It will also be a valuable resource for students and early-career researchers, alongside those involved in the design of the novel photonics-based techniques for health diagnostics and cancer detection and treatment. Key features • Discusses novel methods of cancer diagnostics and cancer treatment. • Details non and minimally invasive photonics techniques. • Explores the applications of machine learning and artificial intelligence to these novel techniques.

Advanced Mathematical Applications in Data Science

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Author : Biswadip Basu Mallik
Publisher : Bentham Science Publishers
ISBN 13 : 9815124854
Total Pages : 223 pages
Book Rating : 4.8/5 (151 download)

Book Synopsis Advanced Mathematical Applications in Data Science by : Biswadip Basu Mallik

Download or read book Advanced Mathematical Applications in Data Science written by Biswadip Basu Mallik and published by Bentham Science Publishers. This book was released on 2023-08-24 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: Comprehensive coverage of advanced mathematical concepts and techniques in data science Contributions from established scientists, researchers, and academicians Real-world case studies and practical applications of mathematical methods Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence Scholarly references for each chapter Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications

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Author : Exarchos, Themis P.
Publisher : IGI Global
ISBN 13 : 1605663158
Total Pages : 598 pages
Book Rating : 4.6/5 (56 download)

Book Synopsis Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications by : Exarchos, Themis P.

Download or read book Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications written by Exarchos, Themis P. and published by IGI Global. This book was released on 2009-04-30 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book includes state-of-the-art methodologies that introduce biomedical imaging in decision support systems and their applications in clinical practice"--Provided by publisher.