Or 2 0 Context Aware Operating Theaters Computer Assisted Robotic Endoscopy Clinical Image Based Procedures And Skin Image Analysis

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OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

Author : Danail Stoyanov,Zeike Taylor,Duygu Sarikaya,Jonathan McLeod,Miguel Angel González Ballester,Noel C.F. Codella,Anne Martel,Lena Maier-Hein,Anand Malpani,Marco A. Zenati,Sandrine De Ribaupierre,Luo Xiongbiao,Toby Collins,Tobias Reichl,Klaus Drechsler,Marius Erdt,Marius George Linguraru,Cristina Oyarzun Laura,Raj Shekhar,Stefan Wesarg,M. Emre Celebi,Kristin Dana,Allan Halpern
Publisher : Springer
Page : 323 pages
File Size : 50,8 Mb
Release : 2018-10-01
Category : Computers
ISBN : 9783030012014

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OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis by Danail Stoyanov,Zeike Taylor,Duygu Sarikaya,Jonathan McLeod,Miguel Angel González Ballester,Noel C.F. Codella,Anne Martel,Lena Maier-Hein,Anand Malpani,Marco A. Zenati,Sandrine De Ribaupierre,Luo Xiongbiao,Toby Collins,Tobias Reichl,Klaus Drechsler,Marius Erdt,Marius George Linguraru,Cristina Oyarzun Laura,Raj Shekhar,Stefan Wesarg,M. Emre Celebi,Kristin Dana,Allan Halpern Pdf

This book constitutes the refereed joint proceedings of the First International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and the First International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 11 full papers presented at OR 2.0 2018, the 5 full papers presented at CARE 2018, the 8 full papers presented at CLIP 2018, and the 10 full papers presented at ISIC 2018 were carefully reviewed and selected. The OR 2.0 papers cover a wide range of topics such as machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors. The CARE papers cover topics to advance the field of computer-assisted and robotic endoscopy. The CLIP papers cover topics to fill gaps between basic science and clinical applications. The ISIC papers cover topics to facilitate knowledge dissemination in the field of skin image analysis, as well as to host a melanoma detection challenge, raising awareness and interest for these socially valuable tasks.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

Author : M. Emre Celebi,Md Sirajus Salekin,Hyunwoo Kim,Shadi Albarqouni,Catarina Barata,Allan Halpern,Philipp Tschandl,Marc Combalia,Yuan Liu,Ghada Zamzmi,Joshua Levy,Huzefa Rangwala,Annika Reinke,Diya Wynn,Bennett Landman,Won-Ki Jeong,Yiqing Shen,Zhongying Deng,Spyridon Bakas,Xiaoxiao Li,Chen Qin,Nicola Rieke,Holger Roth,Daguang Xu
Publisher : Springer Nature
Page : 397 pages
File Size : 43,5 Mb
Release : 2023-11-30
Category : Computers
ISBN : 9783031474019

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops by M. Emre Celebi,Md Sirajus Salekin,Hyunwoo Kim,Shadi Albarqouni,Catarina Barata,Allan Halpern,Philipp Tschandl,Marc Combalia,Yuan Liu,Ghada Zamzmi,Joshua Levy,Huzefa Rangwala,Annika Reinke,Diya Wynn,Bennett Landman,Won-Ki Jeong,Yiqing Shen,Zhongying Deng,Spyridon Bakas,Xiaoxiao Li,Chen Qin,Nicola Rieke,Holger Roth,Daguang Xu Pdf

This double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops. The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023)

Neutrosophic Set in Medical Image Analysis

Author : Yanhui Guo,Amira S. Ashour
Publisher : Academic Press
Page : 370 pages
File Size : 55,8 Mb
Release : 2019-08-08
Category : Computers
ISBN : 9780128181492

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Neutrosophic Set in Medical Image Analysis by Yanhui Guo,Amira S. Ashour Pdf

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis

Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

Author : Khang, Alex
Publisher : IGI Global
Page : 479 pages
File Size : 41,5 Mb
Release : 2024-03-04
Category : Medical
ISBN : 9798369321065

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Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry by Khang, Alex Pdf

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.

Handbook of Medical Image Computing and Computer Assisted Intervention

Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
Publisher : Academic Press
Page : 1074 pages
File Size : 41,8 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9780128165867

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Handbook of Medical Image Computing and Computer Assisted Intervention by S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger Pdf

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)

Author : Ruidan Su,Yu-Dong Zhang,Han Liu
Publisher : Springer Nature
Page : 447 pages
File Size : 40,6 Mb
Release : 2021-08-14
Category : Technology & Engineering
ISBN : 9789811638800

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Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) by Ruidan Su,Yu-Dong Zhang,Han Liu Pdf

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Photography in Clinical Medicine

Author : Paola Pasquali
Publisher : Springer Nature
Page : 730 pages
File Size : 46,5 Mb
Release : 2020-12-09
Category : Medical
ISBN : 9783030245443

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Photography in Clinical Medicine by Paola Pasquali Pdf

This book explains how medical photography is part of the workflow in many specialties: it is needed for registries, to preserve information, for follow up, second opinion and teaching, among others. The book gathers information on this field, providing valuable practical tips for those that have never used photography for medical uses as well as those who use it regularly. Covering specialities ranging from dermatology, plastic surgery, dentistry, ophthalmology and endoscopy to forensic medicine, specimen photography and veterinary medicine, it highlights standardization for each procedure and relevance to ethical, patients’ perception of medical photography, cybersecurity and legal aspects. The book also presents practical sections explaining how to organize a photographic file, coding, reimbursement, compliance, use of social media and preservation as well as in depth concepts on sharp focus on blurred vision. This volume will appeal to all clinicians and practitioners interested in acquiring a high level of technical skill in medical photography.

Mental Health Informatics

Author : Jessica D. Tenenbaum,Piper A. Ranallo
Publisher : Springer Nature
Page : 540 pages
File Size : 48,9 Mb
Release : 2021-11-18
Category : Medical
ISBN : 9783030705589

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Mental Health Informatics by Jessica D. Tenenbaum,Piper A. Ranallo Pdf

This textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based.

Deep Learning Techniques for Biomedical and Health Informatics

Author : Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen
Publisher : Springer Nature
Page : 383 pages
File Size : 54,7 Mb
Release : 2019-11-14
Category : Technology & Engineering
ISBN : 9783030339661

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Deep Learning Techniques for Biomedical and Health Informatics by Sujata Dash,Biswa Ranjan Acharya,Mamta Mittal,Ajith Abraham,Arpad Kelemen Pdf

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

State of the Art in Neural Networks and Their Applications

Author : Jasjit Suri,Ayman S. El-Baz
Publisher : Elsevier
Page : 328 pages
File Size : 53,5 Mb
Release : 2022-11-29
Category : Science
ISBN : 9780128199121

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State of the Art in Neural Networks and Their Applications by Jasjit Suri,Ayman S. El-Baz Pdf

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more Covers deep learning cancer identification from histopathological images, medical image analysis, detection, segmentation and classification via AI

Tactile Internet

Author : Frank H.P. Fitzek,Shu-Chen Li,Stefanie Speidel,Thorsten Strufe,Meryem Simsek,Martin Reisslein
Publisher : Academic Press
Page : 510 pages
File Size : 42,9 Mb
Release : 2021-03-06
Category : Computers
ISBN : 9780128213551

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Tactile Internet by Frank H.P. Fitzek,Shu-Chen Li,Stefanie Speidel,Thorsten Strufe,Meryem Simsek,Martin Reisslein Pdf

Tactile Internet with Human-in-the-Loop describes the change from the current Internet, which focuses on the democratization of information independent of location or time, to the Tactile Internet, which democratizes skills to promote equity that is independent of age, gender, sociocultural background or physical limitations. The book promotes the concept of the Tactile Internet for remote closed-loop human-machine interaction and describes the main challenges and key technologies. Current standardization activities in the field for IEEE and IETF are also described, making this book an ideal resource for researchers, graduate students, and industry R&D engineers in communications engineering, electronic engineering, and computer engineering. Provides a comprehensive reference that addresses all aspects of the Tactile Internet – technologies, engineering challenges, use cases and standards Written by leading researchers in the field Presents current standardizations surrounding the IETF and the IEEE Contains use cases that illustrate practical applications

Fusion of Machine Learning Paradigms

Author : Ioannis K. Hatzilygeroudis,George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer Nature
Page : 204 pages
File Size : 42,6 Mb
Release : 2023-02-06
Category : Technology & Engineering
ISBN : 9783031223716

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Fusion of Machine Learning Paradigms by Ioannis K. Hatzilygeroudis,George A. Tsihrintzis,Lakhmi C. Jain Pdf

This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.

Proceedings of International Conference on Communication and Computational Technologies

Author : Sandeep Kumar,Saroj Hiranwal,S. D. Purohit,Mukesh Prasad
Publisher : Springer Nature
Page : 987 pages
File Size : 41,7 Mb
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9789811939518

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Proceedings of International Conference on Communication and Computational Technologies by Sandeep Kumar,Saroj Hiranwal,S. D. Purohit,Mukesh Prasad Pdf

This book gathers selected papers presented at 4th International Conference on Communication and Computational Technologies (ICCCT 2022), jointly organized by Soft Computing Research Society (SCRS) and Rajasthan Institute of Engineering & Technology (RIET), Jaipur, during February 26–27 2022. The book is a collection of state-of-the art research work in the cutting-edge technologies related to the communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.

Biomedical Image Synthesis and Simulation

Author : Ninon Burgos,David Svoboda
Publisher : Academic Press
Page : 676 pages
File Size : 42,7 Mb
Release : 2022-06-18
Category : Computers
ISBN : 9780128243503

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Biomedical Image Synthesis and Simulation by Ninon Burgos,David Svoboda Pdf

Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future. Gives state-of-the-art methods in (bio)medical image synthesis Explains the principles (background) of image synthesis methods Presents the main applications of biomedical image synthesis methods

Smart Healthcare Engineering Management and Risk Analytics

Author : Shuai Ding,Desheng Wu,Luyue Zhao,Xueyan Li
Publisher : Springer Nature
Page : 220 pages
File Size : 45,7 Mb
Release : 2022-07-20
Category : Business & Economics
ISBN : 9789811925603

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Smart Healthcare Engineering Management and Risk Analytics by Shuai Ding,Desheng Wu,Luyue Zhao,Xueyan Li Pdf

This book aims to stay one step beyond the innovations of information and communication technologies and smart healthcare management and provides an overview of the risks smart healthcare management could help to alleviate, and those risks it would create or amplify. Inclusive discussions of the core of smart healthcare services in the perspective of system engineering are enclosed, such as smart healthcare definition, data information knowledge service, and intelligent hospital management. Summaries of technological and theoretical innovations spanning each step of the modern healthcare system are included, from health screening, clinical diagnosis, cancer screening, to in-hospital mortality monitoring, minimally invasive surgeries, and medical data storages. Analytics of risks reduced and induced by these innovations are provided, with potential solutions to such risks in healthcare management discussed. This book seeks to provide demonstrative examples of incidence capable innovations of healthcare technologies, which, while greatly enhancing abilities of healthcare workers and institutions, could pose risks to patients and sometimes even greater threats to the integrity of the healthcare system. The style of the book is intended to be demonstrative but most suited for researchers and graduate students, explaining the methodology behind healthcare innovations, with some citations and some deep scholarly reference.