Computational Methods In Molecular Imaging Technologies

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Computational Methods In Molecular Imaging Technologies

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Author : Vinit Kumar Gunjan
language : en
Publisher:
Release Date : 2017

Computational Methods In Molecular Imaging Technologies written by Vinit Kumar Gunjan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Bioinformatics categories.

Computational Methods In Molecular Imaging Technologies

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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer
Release Date : 2017-07-04

Computational Methods In Molecular Imaging Technologies written by Vinit Kumar Gunjan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-04 with Technology & Engineering categories.

This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.

Computational Methods For Molecular Imaging

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Author : Fei Gao
language : en
Publisher: Springer
Release Date : 2015-06-11

Computational Methods For Molecular Imaging written by Fei Gao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-11 with Technology & Engineering categories.

This volume contains original submissions on the development and application of molecular imaging computing. The editors invited authors to submit high-quality contributions on a wide range of topics including, but not limited to: • Image Synthesis & Reconstruction of Emission Tomography (PET, SPECT) and other Molecular Imaging Modalities • Molecular Imaging Enhancement • Data Analysis of Clinical & Pre-clinical Molecular Imaging • Multi-Modal Image Processing (PET/CT, PET/MR, SPECT/CT, etc.) • Machine Learning and Data Mining in Molecular Imaging. Molecular imaging is an evolving clinical and research discipline enabling the visualization, characterization and quantification of biological processes taking place at the cellular and subcellular levels within intact living subjects. Computational methods play an important role in the development of molecular imaging, from image synthesis to data analysis and from clinical diagnosis to therapy individualization. This work will bring readers from academia and industry up to date on the most recent developments in this field.

Medical Imaging Systems Technology Volume 1 Analysis And Computational Methods

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Author : Cornelius T Leondes
language : en
Publisher: World Scientific
Release Date : 2005-08-25

Medical Imaging Systems Technology Volume 1 Analysis And Computational Methods written by Cornelius T Leondes and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-25 with Medical categories.

This scholarly set of well-harmonized volumes provides indispensable and complete coverage of the exciting and evolving subject of medical imaging systems. Leading experts on the international scene tackle the latest cutting-edge techniques and technologies in an in-depth but eminently clear and readable approach.Complementing and intersecting one another, each volume offers a comprehensive treatment of substantive importance to the subject areas. The chapters, in turn, address topics in a self-contained manner with authoritative introductions, useful summaries, and detailed reference lists. Extensively well-illustrated with figures throughout, the five volumes as a whole achieve a unique depth and breath of coverage.As a cohesive whole or independent of one another, the volumes may be acquired as a set or individually.

Cell Imaging Techniques

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Author : Douglas J. Taatjes
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-04

Cell Imaging Techniques written by Douglas J. Taatjes 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 2008-02-04 with Science categories.

A diverse collection of state-of-the-art methods for the microscopic imaging of cells and molecules. The authors cover a wide spectrum of complimentary techniques, including such methods as fluorescence microscopy, electron microscopy, atomic force microscopy, and laser scanning cytometry. Additional readily reproducible protocols on confocal scanning laser microscopy, quantitative computer-assisted image analysis, laser-capture microdissection, microarray image scanning, near-field scanning optical microscopy, and reflection contrast microscopy round out this eclectic collection of cutting-edge imaging techniques now available. The authors also discuss preparative methods for particles and cells by transmission electron microscopy.

Modern Approaches In Machine Learning And Cognitive Science A Walkthrough

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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2024-01-13

Modern Approaches In Machine Learning And Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-13 with Computers categories.

This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Advances In Computational Techniques For Biomedical Image Analysis

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Author : Deepika Koundal
language : en
Publisher: Academic Press
Release Date : 2020-05-28

Advances In Computational Techniques For Biomedical Image Analysis written by Deepika Koundal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Computers categories.

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics

Machine Learning For Healthcare

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Author : Dr. R. C. Karpagalakshmi
language : en
Publisher: RK Publication
Release Date : 2024-05-23

Machine Learning For Healthcare written by Dr. R. C. Karpagalakshmi and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-23 with Computers categories.

Machine Learning for Healthcare the transformative impact of machine learning technologies on the healthcare industry. How machine learning algorithms are being used to enhance medical diagnostics, treatment plans, patient care, and operational efficiencies. It's key techniques such as predictive modeling, data analysis, and artificial intelligence applications, providing insights into real-world use cases and future trends. Suitable for healthcare professionals, data scientists, and researchers, this emphasizes the potential of machine learning in improving patient outcomes and revolutionizing healthcare delivery.

Cybernetics Cognition And Machine Learning Applications

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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2022-09-15

Cybernetics Cognition And Machine Learning Applications written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Technology & Engineering categories.

This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Mining Biomedical Text Images And Visual Features For Information Retrieval

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Author : Sujata Dash
language : en
Publisher: Elsevier
Release Date : 2024-11-15

Mining Biomedical Text Images And Visual Features For Information Retrieval written by Sujata Dash and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Science categories.

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides the reader with a broad coverage of the concepts, themes, and instrumentalities of the important and evolving area of biomedical text, images, and visual features towards information retrieval. It aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research.The book discusses topics such as internet of things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications.It is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work. - Describes many biomedical imaging techniques to detect diseases at the cellular level i.e., image segmentation, classification, or image indexing using a variety of computational intelligence and image processing approaches - Discusses how data mining techniques can be used for noise diminution and filtering MRI, EEG, MEG, fMRI, fNIRS, and PET Images - Presents text mining techniques used for clinical documents in the areas of medicine and Biomedical NLP Systems