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This book offers a comprehensive review on the last development in the management and the treatment of acute and life-threatening conditions. Written by leading experts in the field, this book will help the clinician to understand the clinical problems and to select the methodological and technical options that will ensure prompt and effective response and correct interpretation of the clinical findings. This book is richly illustrated and will serve as unique source of information for radiologists and other specialists including neuroradiologists, surgeons, cardiologists, angiologists and gastroenteologists.
The two-volume set LNCS 11992 and 11993 constitutes the thoroughly refereed proceedings of the 5th International MICCAI Brainlesion Workshop, BrainLes 2019, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge, as well as the tutorial session on Tools Allowing Clinical Translation of Image Computing Algorithms (TACTICAL). These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Shenzhen, China, in October 2019. The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (12 selected papers from 32 submissions); brain tumor image segmentation (57 selected papers from 102 submissions); combined MRI and pathology brain tumor classification (4 selected papers from 5 submissions); tools allowing clinical translation of image computing algorithms (2 selected papers from 3 submissions.)
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electri...
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
The child is neither an adult miniature nor an immature human being: at each age, it expresses specific abilities that optimize adaptation to its environment and development of new acquisitions. Diseases in children cover all specialties encountered in adulthood, and neurology involves a particularly large area, ranging from the brain to the striated muscle, the generation and functioning of which require half the genes of the whole genome and a majority of mitochondrial ones. Human being nervous system is sensitive to prenatal aggression, is particularly immature at birth and development may be affected by a whole range of age-dependent disorders distinct from those that occur in adults. Ev...
The amount of patients surviving severe brain injury has gradually increased over these last decades thanks to the development of intensive care. These patients either recover quickly from coma or go through prolonged disorders of consciousness such as vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS). While patients in a minimally conscious state are to some extent aware of themselves and the environment, and show fluctuating but reproducible signs of consciousness, patients in a vegetative state/unresponsive wakefulness syndrome are awake but only show reflexive behaviors. These patients are unable to communicate and present vigilance fluctuatio...
This Research Topic explores the intricate relationship between stress, health, and well-being, with a focus on the underlying psychological and physiological processes involved. The aim is to shed light on the complex interplay between these factors and provide insights into potential interventions and strategies for promoting optimal mental and physical well-being. It encompasses both theoretical perspectives and empirical research, emphasizing the need for interdisciplinary collaboration and a comprehensive understanding of stress, health and well-being: - The Impact of Chronic Stress on Physical Health Examining the physiological processes through which chronic stress contributes to physical health problems, such as cardiovascular diseases, immune dysregulation, and metabolic disorders. Investigating the role of stress-related behaviors (e.g., poor sleep, unhealthy eating habits, sedentary lifestyle) in mediating the relationship between stress and physical health outcomes. Discussing potential interventions and preventive measures to mitigate the adverse effects of chronic stress on physical well-being.