Medical Image Analysis PDF Download

Author: Alejandro Frangi
Publisher: Academic Press
ISBN: 0128136588
Category : Technology & Engineering
Languages : en
Pages : 700

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Book Description
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing

Author: David Riaño
Publisher: Springer
ISBN: 303021642X
Category : Computers
Languages : en
Pages : 431

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Book Description
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Author: Rajshree Srivastava
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110676125
Category : Computers
Languages : en
Pages : 182

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Book Description
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Author: Jytte Brender
Publisher: IOS Press
ISBN: 9789051992786
Category : Medical
Languages : en
Pages : 1268

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Book Description
MIE 96 is the main medical informatics and telematics event in 1996. MIE 96 is the place where users meet industry, where decision makers are presented with the available informatics and telematics solutions to major challenges in modern medicine and its delivery. An awareness is raising within the healthcare sector of the huge potential in applying IT-based solutions as means for quality assurance and cost-containment.

Author: Tapio Lokki
Publisher: MDPI
ISBN: 3038429074
Category : Science
Languages : en
Pages : 621

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Book Description
This book is a printed edition of the Special Issue "Sound and Music Computing" that was published in Applied Sciences

Author: Anthony C. Chang
Publisher: Academic Press
ISBN: 0128233389
Category : Science
Languages : en
Pages : 549

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Book Description
Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. - Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything - Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists - Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future - Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

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Book Description
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

Author: Bernhard Preim
Publisher: Newnes
ISBN: 0124159796
Category : Computers
Languages : en
Pages : 1017

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Book Description
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field. - Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field - Illustrated in full color - Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more

Author: Kai Zheng
Publisher: Springer
ISBN: 3030169162
Category : Medical
Languages : en
Pages : 321

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Book Description
This timely book addresses gaps in the understanding of how health information technology (IT) impacts on clinical workflows and how the effective implementation of these workflows are central to the safe and effective delivery of care to patients. It features clearly structured chapters covering a range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data techniques for potentially redesigning health IT enabled care coordination. Cognitive Informatics: Reengineering Clinical Workflow for More Efficient and Safer Care enables readers to develop a deeper understanding of clinical workflows and how these can potentially be modified to facilitate greater efficiency and safety in care provision, providing a valuable resource for both biomedical and health informatics professionals and trainees.

Author: A. Shabo (Shvo)
Publisher: IOS Press
ISBN: 1614999597
Category : Medical
Languages : en
Pages : 294

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Book Description
Information and Communications Technology (ICT) is used in healthcare and health science research in application domains such as clinical trials and the development of drug and medical devices, as well as in translational medicine, with the aim of improving prevention, diagnosis, and interventions in health and care. This book presents accepted papers from the 2019 European Federation of Medical Informatics conference (EFMI STC 2019), held in Hanover, Germany, from 7 – 10 April 2019. More than 90 submissions were received, from which, after review, the Scientific Program Committee (SPC) accepted 50 full papers to be included in this volume of proceedings. In addition, 16 poster presentations were accepted. This year, ICT for Health Science Research was selected as the focus topic, and the conference also honors Prof. Peter Leo Reichertz (1930 – 1987), one of the founding fathers of ICT healthcare and an originator of the term Medical Informatics. The conference focuses on recent research & development supporting information systems in biomedical, translational and clinical research, as well as semantic interoperability across such systems for the purpose of data sharing and the analytics of cross-system integrated data. Papers are divided into 12 categories covering topics including digitization; data privacy; interoperability; data-driven decision support; mobile data capture; and ICT for clinical trials. The book will be of interest to all healthcare researchers and practitioners whose work involves the use of ICT.