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Intelligent Computing Techniques In Biomedical Imaging


Intelligent Computing Techniques In Biomedical Imaging
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Intelligent Computing Techniques In Biomedical Imaging


Intelligent Computing Techniques In Biomedical Imaging
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Author : Bikesh Kumar Singh
language : en
Publisher: Elsevier
Release Date : 2024-08-23

Intelligent Computing Techniques In Biomedical Imaging written by Bikesh Kumar Singh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Science categories.


Intelligent Computing Techniques in Biomedical Imaging provides comprehensive and state-of-the-art applications of Computational Intelligence techniques used in biomedical image analysis for disease detection and diagnosis. The book offers readers a stepwise approach from fundamental to advanced techniques using real-life medical examples and tutorials. The editors have divided the book into five sections, from prerequisites to case studies.Section I presents the prerequisites, where the reader will find fundamental concepts needed for advanced topics covered later in this book. This primarily includes a thorough introduction to Artificial Intelligence, probability theory and statistical learning. The second section covers Computational Intelligence methods for medical image acquisition and pre-processing for biomedical images. In this section, readers will find AI applied to conventional and advanced biomedical imaging modalities such as X-rays, CT scan, MRI, Mammography, Ultrasound, MR Spectroscopy, Positron Emission Tomography (PET), Ultrasound Elastography, Optical Coherence Tomography (OCT), Functional MRI, Hybrid Modalities, as well as pre-processing topics such as medical image enhancement, segmentation, and compression. Section III covers description and representation of medical images. Here the reader will find various categories of features and their relevance in different medical imaging tasks. This section also discusses feature selection techniques based on filter method, wrapper method, embedded method, and more.The fourth section covers Computational Intelligence techniques used for medical image classification, including Artificial Neural Networks, Support Vector Machines, Decision Trees, Nearest Neighbor Classifiers, Random Forest, clustering, extreme learning, Convolution Neural Networks (CNN), and Recurrent Neural Networks. This section also includes a discussion of computer aided diagnosis and performance evaluation in radiology.The final section of Intelligent Computing Techniques in Biomedical Imaging provides readers with a wealth of real-world Case Studies for Computational Intelligence techniques in applications such as neuro-developmental disorders, brain tumor detection, breast cancer detection, bone fracture detection, pulmonary imaging, thyroid disorders, imaging technologies in dentistry, diagnosis of ocular diseases, cardiovascular imaging, and multimodal imaging. - Introduces Fourier theory and signal analysis tailored to applications in optical communications devices and systems - Provides strong theoretical background, making it a ready resource for researchers and advanced students in optical communication and optical signal processing - Starts from basic theory and then develops descriptions of useful applications



Computational Intelligence In Medical Imaging


Computational Intelligence In Medical Imaging
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Author : G. Schaefer
language : en
Publisher: CRC Press
Release Date : 2009-03-24

Computational Intelligence In Medical Imaging written by G. Schaefer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-24 with Computers categories.


CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further researchA compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical



Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare


Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare
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Author : Janmenjoy Nayak
language : en
Publisher: Academic Press
Release Date : 2021-04-08

Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare written by Janmenjoy Nayak and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Science categories.


Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. - Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence - Helps readers analyze and do advanced research in specialty healthcare applications - Includes links to websites, videos, articles and other online content to expand and support primary learning objectives



Computational Intelligence In Biomedical Imaging


Computational Intelligence In Biomedical Imaging
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Author : Kenji Suzuki
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-19

Computational Intelligence In Biomedical Imaging written by Kenji Suzuki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-19 with Technology & Engineering categories.


Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.



Mathematical Methods In Medical Imaging


Mathematical Methods In Medical Imaging
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Author : Joseph N. Wilson
language : en
Publisher:
Release Date : 1992

Mathematical Methods In Medical Imaging written by Joseph N. Wilson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.




Emerging Intelligent Computing Technology And Applications


Emerging Intelligent Computing Technology And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-28

Emerging Intelligent Computing Technology And Applications written by De-Shuang Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-28 with Computers categories.


This book - in conjunction with the volume LNAI 5755 - constitutes the refereed proceedings of the 5th International Conference on Intelligent Computing, ICIC 2009, held in Ulsan, South Korea in September 2009. The 214 revised full papers of these two volumes were carefully reviewed and selected from a total of 1082 submissions. The papers are organized in topical sections on Supervised & Semi-supervised Learning, Machine Learning Theory and Methods, Biological and Quantum Computing, Intelligent Computing in Bioinformatics, Intelligent Computing in Computational Biology and Drug Design, Computational Genomics and Proteomics, Intelligent Computing in Signal Processing, Intelligent Computing in Pattern Recognition, Intelligent Computing in Image Processing, Intelligent Computing in Communication and Computer Networks, Intelligent Computing in Robotics, Intelligent Computing in Computer Vision, Intelligent Agent and Web Applications, Intelligent Sensor Networks, Intelligent Fault Diagnosis & Financial Engineering, Intelligent Control and Automation, Intelligent Data Fusion and Security, Intelligent Prediction & Time Series Analysis, Natural Language Processing and Expert Systems, Intelligent Image/Document Retrievals, Computational Analysis and Data Mining in Biological Systems, Knowledge-Based Systems and Intelligent Computing in Medical Imaging, Applications of Intelligent Computing in Information Assurance & Security, Computational Analysis and Applications in Biomedical System, Intelligent Computing Algorithms in Banking and Finance, and Network-Based Intelligent Technologies.



Mathematical Methods In Medical Imaging


Mathematical Methods In Medical Imaging
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Author :
language : en
Publisher:
Release Date : 1992

Mathematical Methods In Medical Imaging written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Diagnostic imaging categories.




Handbook Of Research On Advanced Techniques In Diagnostic Imaging And Biomedical Applications


Handbook Of Research On Advanced Techniques In Diagnostic Imaging And Biomedical Applications
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Author : Exarchos, Themis P.
language : en
Publisher: IGI Global
Release Date : 2009-04-30

Handbook Of Research On Advanced Techniques In Diagnostic Imaging And Biomedical Applications written by Exarchos, Themis P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Computers categories.


"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.



Image Processing And Intelligent Computing Systems


Image Processing And Intelligent Computing Systems
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Author : Prateek Singhal
language : en
Publisher: CRC Press
Release Date : 2023-01-17

Image Processing And Intelligent Computing Systems written by Prateek Singhal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Computers categories.


There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.



Intelligent Computing In Signal Processing And Pattern Recognition


Intelligent Computing In Signal Processing And Pattern Recognition
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Author : De-Shuang Huang
language : en
Publisher: Lecture Notes in Control and Information Sciences
Release Date : 2006-08-04

Intelligent Computing In Signal Processing And Pattern Recognition written by De-Shuang Huang and has been published by Lecture Notes in Control and Information Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-04 with Computers categories.


This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.