Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data
DOWNLOAD
Download Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Domain Adaptation And Representation Transfer And Medical Image Learning With Less Labels And Imperfect Data
DOWNLOAD
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.
Meta Learning With Medical Imaging And Health Informatics Applications
DOWNLOAD
Author : Hien Van Nguyen
language : en
Publisher: Academic Press
Release Date : 2022-09-24
Meta Learning With Medical Imaging And Health Informatics Applications written by Hien Van Nguyen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-24 with Computers categories.
Meta-Learning, or learning to learn, has become increasingly popular in recent years. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to new tasks. The meta-learning paradigm has great potential to address deep neural networks' fundamental challenges such as intensive data requirement, computationally expensive training, and limited capacity for transfer among tasks.This book provides a concise summary of Meta-Learning theories and their diverse applications in medical imaging and health informatics. It covers the unifying theory of meta-learning and its popular variants such as model-agnostic learning, memory augmentation, prototypical networks, and learning to optimize. The book brings together thought leaders from both machine learning and health informatics fields to discuss the current state of Meta-Learning, its relevance to medical imaging and health informatics, and future directions. - First book on applying Meta Learning to medical imaging - Pioneers in the field as contributing authors to explain the theory and its development - Has GitHub repository consisting of various code examples and documentation to help the audience to set up Meta-Learning algorithms for their applications quickly
Advances In Natural Computation Fuzzy Systems And Knowledge Discovery
DOWNLOAD
Author : Hongying Meng
language : en
Publisher: Springer Nature
Release Date : 2021-06-26
Advances In Natural Computation Fuzzy Systems And Knowledge Discovery written by Hongying Meng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-26 with Technology & Engineering categories.
This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.
Generative Machine Learning Models In Medical Image Computing
DOWNLOAD
Author : Le Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-03-12
Generative Machine Learning Models In Medical Image Computing written by Le Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Mathematics categories.
Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book presents an in-depth overview of cutting-edge generative models such as GANs, VAEs, and diffusion models, examining how they enable groundbreaking applications in medical image synthesis, reconstruction, and enhancement. Covering diverse imaging modalities like MRI, CT, and ultrasound, it illustrates how these models facilitate improvements in image quality, support data augmentation for scarce datasets, and create new avenues for predictive diagnostics. Beyond technical details, the book addresses critical challenges in deploying generative models for healthcare, including ethical concerns, interpretability, and clinical validation. With a strong focus on real-world applications, it includes case studies and implementation guidelines, guiding readers in translating theory into practice. By addressing model robustness, reproducibility, and clinical utility, this book is an essential resource for researchers, clinicians, and data scientists seeking to leverage generative models to enhance biomedical imaging and deliver impactful healthcare solutions. Combining technical rigor with practical insights, it offers a roadmap for integrating advanced generative approaches in the field of medical image computing.
Medical Image Understanding And Analysis
DOWNLOAD
Author : Gordon Waiter
language : en
Publisher: Springer Nature
Release Date : 2023-12-01
Medical Image Understanding And Analysis written by Gordon Waiter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19–21, 2023.The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection.
Advanced Machine Vision Paradigms For Medical Image Analysis
DOWNLOAD
Author : Tapan K. Gandhi
language : en
Publisher: Academic Press
Release Date : 2020-08-11
Advanced Machine Vision Paradigms For Medical Image Analysis written by Tapan K. Gandhi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.
Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. - Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence - Highlights the advancement of conventional approaches in the field of medical image processing - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis
Cognitive Machine Intelligence
DOWNLOAD
Author : Inam Ullah Khan
language : en
Publisher: CRC Press
Release Date : 2024-08-28
Cognitive Machine Intelligence written by Inam Ullah Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing. This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cybersecurity, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Computational Neuroimage Analysis Tools For Brain Diseases Biomarkers
DOWNLOAD
Author : Diana M. Sima
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-15
Computational Neuroimage Analysis Tools For Brain Diseases Biomarkers written by Diana M. Sima 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 2022-03-15 with Science categories.
Epistemic Uncertainty In Artificial Intelligence
DOWNLOAD
Author : Fabio Cuzzolin
language : en
Publisher: Springer Nature
Release Date : 2024-04-23
Epistemic Uncertainty In Artificial Intelligence written by Fabio Cuzzolin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Computers categories.
This LNCS 14523 conference volume constitutes the proceedings of the First International Workshop, Epi UAI 2023, in Pittsburgh, PA, USA, August 2023. The 8 full papers together included in this volume were carefully reviewed and selected from 16 submissions. Epistemic AI focuses, in particular, on some of the most important areas of machine learning: unsupervised learning, supervised learning, and reinforcement learning.
Innovation In Medicine And Healthcare
DOWNLOAD
Author : Yen-Wei Chen
language : en
Publisher: Springer Nature
Release Date : 2025-03-06
Innovation In Medicine And 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 2025-03-06 with Computers categories.
This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-24), held in Madeira, Portugal, on June 19–21, 2024. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.