Medical Computer Vision And Bayesian And Graphical Models For Biomedical Imaging
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Medical Computer Vision And Bayesian And Graphical Models For Biomedical Imaging
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Author : Henning Müller
language : en
Publisher: Springer
Release Date : 2017-06-30
Medical Computer Vision And Bayesian And Graphical Models For Biomedical Imaging written by Henning Müller and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Computers categories.
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.
Bayesian And Graphical Models For Biomedical Imaging
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Author : M. Jorge Cardoso
language : en
Publisher: Springer
Release Date : 2014-09-22
Bayesian And Graphical Models For Biomedical Imaging written by M. Jorge Cardoso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-22 with Computers categories.
This book constitutes the refereed proceedings of the First International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2014, held in Cambridge, MA, USA, in September 2014 as a satellite event of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014. The 11 revised full papers presented were carefully reviewed and selected from numerous submissions with a key aspect on probabilistic modeling applied to medical image analysis. The objectives of this workshop compared to other workshops, e.g. machine learning in medical imaging, have a stronger mathematical focus on the foundations of probabilistic modeling and inference. The papers highlight the potential of using Bayesian or random field graphical models for advancing scientific research in biomedical image analysis or for the advancement of modeling and analysis of medical imaging data.
Medical And Biological Image Analysis
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-07-04
Medical And Biological Image Analysis written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Medical categories.
This book deals with medical image analysis methods. In particular, it contains two significant chapters on image segmentation as well as some selected examples of the application of image analysis and processing methods. Despite the significant development of information technology methods used in modern image analysis and processing algorithms, the segmentation process remains open. This is mainly due to intra-patient variability and/or scene diversity. Segmentation is equally difficult in the case of ultrasound imaging and depends on the location of the probe or the contact force. Regardless of the imaging method, segmentation must be tailored for a specific application in almost every case. These types of application areas for various imaging methods are included in this book.
Deep Learning In Healthcare
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Author : Yen-Wei Chen
language : en
Publisher: Springer Nature
Release Date : 2019-11-18
Deep Learning In Healthcare written by Yen-Wei Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Technology & Engineering categories.
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data
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Author : Qian Wang
language : en
Publisher: Springer Nature
Release Date : 2019-10-13
Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data written by Qian Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-13 with Computers categories.
This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection.
Advanced Machine Learning Approaches For Brain Mapping
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Author : Dajiang Zhu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-10
Advanced Machine Learning Approaches For Brain Mapping written by Dajiang Zhu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Science categories.
Brain mapping is dedicated to using brain imaging techniques such as MRI, CT, PET, EEG, and fNIRS to understand the brain anatomy, structure, and function, and how it contributes to cognition, behavior, and deficits of brain diseases. Recently, machine learning is in a stage of rapid development, and various new technologies are continuously introduced into the field, from traditional approaches
Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics
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Author : Babak Saboury
language : en
Publisher: Elsevier Health Sciences
Release Date : 2021-09-21
Artificial Intelligence And Pet Imaging Part 1 An Issue Of Pet Clinics written by Babak Saboury and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-21 with Medical categories.
Artificial Intelligence and PET Imaging, Part 1, An Issue of PET Clinics, E-Book
Computer Networks Big Data And Iot
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Author : A. Pasumpon Pandian
language : en
Publisher: Springer Nature
Release Date : 2022-05-21
Computer Networks Big Data And Iot written by A. Pasumpon Pandian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-21 with Technology & Engineering categories.
This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.
23 03 2024
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Author : Francisco Javier Quintana
language : en
Publisher: Elsevier
Release Date : 2024-06-11
23 03 2024 written by Francisco Javier Quintana and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-11 with Medical categories.
Mechanisms of Disease Pathogenesis in Multiple Sclerosis summarizes our current understanding on MS and its clinical features and monitoring with available biomarkers, focusing on mechanisms that drive disease pathogenesis and their control by genetic, environmental factors and novel therapies for disease management. The book is written for neurologists, neuroimmunologists and clinical, translational and basic researchers interested in mechanisms of neurodegeneration. Multiple Sclerosis (MS) is an autoimmune disease which targets the central nervous system (CNS). It is the most common cause of non-traumatic neurological disability in young adults with a prevalence of 1 in 1000 and increasing, hence the importance of this book. - Summarizes our current understanding of Multiple Sclerosis - Discusses clinical features and available biomarker monitoring - Focuses on mechanisms that drive disease pathogenesis
Deep Learning Approaches In Image Guided Diagnosis For Tumors
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Author : Shahid Mumtaz
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-13
Deep Learning Approaches In Image Guided Diagnosis For Tumors written by Shahid Mumtaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Medical categories.