Computer Vision And Robotics In Perioperative Process
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| Author | : Yi Xu |
| Publisher | : World Scientific |
| Total Pages | : 118 |
| Release | : 2018-04-10 |
| Genre | : Technology & Engineering |
| ISBN | : 9813233303 |
This invaluable compendium highlights the challenges of perioperative process in hospitals today. It delves into the development of a multi-agent robotic system where a dirty-side robot that sorts instruments returned from a surgical room into different containers for easy scrubbing, a Traybot that navigates the environment and transports the instrument containers to different stations, a clean-side robot that picks up instruments and places them in surgical kits, and an orchestration software architecture that manages the cooperation between different robots.The book discusses the technical details of all the components, from system architecture to the details of the end-effector design. Readers will gain significant knowledge on how such a system was put together.Related Link(s)
| Author | : Chi Hau Chen |
| Publisher | : World Scientific |
| Total Pages | : 410 |
| Release | : 2013-11-18 |
| Genre | : Computers |
| ISBN | : 9814460958 |
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
| Author | : Chi Hau Chen |
| Publisher | : World Scientific |
| Total Pages | : 336 |
| Release | : 2022-05-30 |
| Genre | : Computers |
| ISBN | : 9811257469 |
In recent years, there have been significant progress in computational intelligence and image processing with machine learning and deep learning as important components of modern artificial intelligence. All these progresses face challenges in dealing with Covid-19 pandemic for detection and treatment.This comprehensive compendium provides not only updated advances of computational intelligence and image processing in the detection and treatment of Covid-19, but also other medical applications such as in cancer detection and cardiovascular diseases, etc. More traditional approaches such as 2D segmentation and 3D reconstruction are included.The useful reference text is an updated version of the edited title, Computer Vision in Medical Imaging (World Scientific, 2014) and its companion volume, Frontiers of Medical Imaging (World Scientific, 2015). The book is written for engineers, scientists and the medical community to meet the increased challenges in medical applications.
| Author | : Mariusz Flasinski |
| Publisher | : World Scientific |
| Total Pages | : 403 |
| Release | : 2019-03-25 |
| Genre | : Computers |
| ISBN | : 981327848X |
This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed.This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence.
| Author | : Danail Stoyanov |
| Publisher | : Springer |
| Total Pages | : 338 |
| Release | : 2018-10-01 |
| Genre | : Computers |
| ISBN | : 3030012018 |
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.
| Author | : Daniel A. Hashimoto |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 432 |
| Release | : 2021-03-08 |
| Genre | : Medical |
| ISBN | : 1260452743 |
Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.
| Author | : H. Richard Winn |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 7439 |
| Release | : 2022-01-21 |
| Genre | : Medical |
| ISBN | : 0323674992 |
Widely regarded as the definitive reference in the field, Youmans and Winn Neurological Surgery offers unparalleled, multimedia coverage of the entirety of this complex specialty. Fully updated to reflect recent advances in the basic and clinical neurosciences, the 8th Edition covers everything you need to know about functional and restorative neurosurgery, deep brain stimulation, stem cell biology, radiological and nuclear imaging, and neuro-oncology, as well as minimally invasive surgeries in spine and peripheral nerve surgery, and endoscopic and other approaches for cranial procedures and cerebrovascular diseases. In four comprehensive volumes, Dr. H. Richard Winn and his expert team of editors and authors provide updated content, a significantly expanded video library, and hundreds of new video lectures that help you master new procedures, new technologies, and essential anatomic knowledge in neurosurgery. - Discusses current topics such as diffusion tensor imaging, brain and spine robotic surgery, augmented reality as an aid in neurosurgery, AI and big data in neurosurgery, and neuroimaging in stereotactic functional neurosurgery. - 55 new chapters provide cutting-edge information on Surgical Anatomy of the Spine, Precision Medicine in Neurosurgery, The Geriatric Patient, Neuroanesthesia During Pregnancy, Laser Interstitial Thermal Therapy for Epilepsy, Fetal Surgery for Myelomeningocele, Rehabilitation of Acute Spinal Cord Injury, Surgical Considerations for Patients with Polytrauma, Endovascular Approaches to Intracranial Aneurysms, and much more. - Hundreds of all-new video lectures clarify key concepts in techniques, cases, and surgical management and evaluation. Notable lecture videos include multiple videos on Thalamotomy for Focal Hand Dystonia and a video to accompany a new chapter on the Basic Science of Brain Metastases. - An extensive video library contains stunning anatomy videos and videos demonstrating intraoperative procedures with more than 800 videos in all. - Each clinical section contains chapters on technology specific to a clinical area. - Each section contains a chapter providing an overview from experienced Section Editors, including a report on ongoing controversies within that subspecialty. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
| Author | : A. Dave Marshall |
| Publisher | : World Scientific |
| Total Pages | : 457 |
| Release | : 1992 |
| Genre | : Computers |
| ISBN | : 9810207727 |
The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant.The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.
| Author | : J.D. Westwood |
| Publisher | : IOS Press |
| Total Pages | : 620 |
| Release | : 2006-01-04 |
| Genre | : Computers |
| ISBN | : 1607501589 |
Machine intelligence will eclipse human intelligence within the next few decades - extrapolating from Moore’s Law - and our world will enjoy limitless computational power and ubiquitous data networks. Today’s iPod® devices portend an era when biology and information technology will fuse to create a human experience radically different from our own. Already, our healthcare system now appears on the verge of crisis; accelerating change is part of the problem. Each technological upgrade demands an investment of education and money, and a costly infrastructure more quickly becomes obsolete. Practitioners can be overloaded with complexity: therapeutic options, outcomes data, procedural coding, drug names etc. Furthermore, an aging global population with a growing sense of entitlement demands that each medical breakthrough be immediately available for its benefit: what appears in the morning paper is expected simultaneously in the doctor’s office. Meanwhile, a third-party payer system generates conflicting priorities for patient care and stockholder returns. The result is a healthcare system stressed by scientific promise, public expectation, economic and regulatory constraints and human limitations. Change is also proving beneficial, of course. Practitioners are empowered by better imaging methods, more precise robotic tools, greater realism in training simulators, and more powerful intelligence networks. The remarkable accomplishments of the IT industry and the Internet are trickling steadily into healthcare. The Medicine Meets Virtual Reality series can readily see the progress of the past fourteen years: more effective healthcare at a lower overall cost, driven by cheaper and better computers.
| Author | : Sam Atallah |
| Publisher | : Springer Nature |
| Total Pages | : 441 |
| Release | : 2020-07-31 |
| Genre | : Medical |
| ISBN | : 3030491005 |
This book provides a trove of insightful perspectives on the current state and the realization of digital surgery. Digital surgery entails the application of artificial intelligence and machine learning toward automation in robotic-assisted surgery. More generally, the objective is to digitally define the patient, the surgical field, and the surgical problem or task at hand; to operate based on information, rather than based on anatomic planes alone. But digital surgery has shapeshifted into other, equally intriguing faces – many of which are exemplified by topics throughout this book. Digital surgery is fundamental to 3D-printed organs, mind-controlled limbs, image-guided navigation, and tele-mentoring. It is the key that unlocks the metaphorical doorway to surgical access, thereby creating a global framework for surgical training, education, planning, and much more. This text provides methods of measurement and perception outside of the human umwelt – including the ability to visualize fields beyond the visible light spectrum, via near infrared fluorescent organic dyes which are rapidly being bioengineered to target specific tumors, as well as native anatomic structures of interest. Written by experts in the field, Digital Surgery is designed to help surgeons operate with an enriched understanding of an individual’s specific attributes: including the human phenome, physiome, microbiome, genome, and epigenome. It also aids surgeons in harnessing the power and fluidity of the cloud, which is emerging as a significant resource for surgeons both regionally and globally.
