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Central Nervous System Infections, an Issue of Neuroimaging Clinics of North America
In this issue of Neuroimaging Clinics, guest editor Dr. Tchoyoson Lim Choie Cheio brings his considerable expertise to the topic of Central Nervous System Infections. Infections can involve any part of the CNS and often, multiple parts of the CNS are involved at the same time. The imaging surrounding them is constantly evolving, and in this issue, key international experts provide a thorough update of the imaging of these common and pervasive infections. Contains 13 practice-oriented topics including emerging public health, multidisciplinary teams and pitfalls in CNS infection imaging; acute neurological complications of COVID-19; subacute to chronic neuroimaging findings in SARS-CoV-2/COVID-19 infection; imaging of opportunistic infections and HIV/AIDS; imaging of head and neck infections; and more. Provides in-depth clinical reviews on central nervous system infections, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Central Nervous System Infections, An Issue of Neuroimaging Clinics of North America
In this issue of Neuroimaging Clinics, guest editor Dr. Tchoyoson Lim Choie Cheio brings his considerable expertise to the topic of Central Nervous System Infections. Infections can involve any part of the CNS and often, multiple parts of the CNS are involved at the same time. The imaging surrounding them is constantly evolving, and in this issue, key international experts provide a thorough update of the imaging of these common and pervasive infections. Contains 13 practice-oriented topics including emerging public health, multidisciplinary teams and pitfalls in CNS infection imaging; acute neurological complications of COVID-19; subacute to chronic neuroimaging findings in SARS-CoV-2/COVID-19 infection; imaging of opportunistic infections and HIV/AIDS; imaging of head and neck infections; and more. Provides in-depth clinical reviews on central nervous system infections, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and mater...
Xenotransplantation
Xenotransplantation could have an impact on at least three aspects of medicine. The first is as a means of overcoming a severe shortage of human donor organs for the treatment of organ failure. The second aspect relates to the possibility that a xenogeneic organ would not be susceptible to infection by a "human" virus and thus the xenograft might resist injury caused by such viruses. The third and, as of yet, unexplored aspect relates to a means of delivering genes for therapeutic purposes thus overcoming some of the limitations of "conventional" gene therapy.
Pitfalls in Diagnostic Radiology
The practice of diagnostic radiology has become increasingly complex, with the use of numerous imaging modalities and division into many subspecialty areas. It is becoming ever more difficult for subspecialist radiologists, general radiologists, and residents to keep up with the advances that are occurring year on year, and this is particularly true for less familiar topics. Failure to appreciate imaging pitfalls often leads to diagnostic error and misinterpretation, and potential medicolegal problems. This textbook, written by experts from reputable centers across the world, systematically and comprehensively highlights the pitfalls that may occur in diagnostic radiology. Both pitfalls specific to different modalities and techniques and those specific to particular organ systems are described with the help of numerous high-quality illustrations. Recognition of these pitfalls is crucial in helping the practicing radiologist to achieve a more accurate diagnosis.
13th International Conference on Biomedical Engineering
th On behalf of the organizing committee of the 13 International Conference on Biomedical Engineering, I extend our w- mest welcome to you. This series of conference began in 1983 and is jointly organized by the YLL School of Medicine and Faculty of Engineering of the National University of Singapore and the Biomedical Engineering Society (Singapore). First of all, I want to thank Mr Lim Chuan Poh, Chairman A*STAR who kindly agreed to be our Guest of Honour to give th the Opening Address amidst his busy schedule. I am delighted to report that the 13 ICBME has more than 600 participants from 40 countries. We have received very high quality papers and inevitably we had to turndown some papers....
Convolutional Neural Networks for Medical Image Processing Applications
The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contribu...
