Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Artificial Intelligence for the Detection of Focal Cortical Dysplasia: Challenges in Translating Algorithms Into Clinical Practice
Abstract: Focal cortical dysplasias (FCDs) are malformations of cortical development and one of the most common pathologies causing pharmacoresistant focal epilepsy. Resective neurosurgery yields high success rates, especially if the full extent of the lesion is correctly identified and completely removed. The visual assessment of magnetic resonance imaging does not pinpoint the FCD in 30%-50% of cases, and half of all patients with FCD are not amenable to epilepsy surgery, partly because the FCD could not be sufficiently localized. Computational approaches to FCD detection are an active area of research, benefitting from advancements in computer vision. Automatic FCD detection is a signific...
Equity and Law
Equity is a multi-faceted subject, an authentic crossroads of problems. The perspective of this study is, as a result, a mix of focuses, which includes: the philosophy of law, general legal theory, justice theory, the history of law, comparative law, legal dogma, etc. In this book, as in various earlier studies of the author, she uses the "three-dimensional" method, which facilitates a stratified focus in agreement with three levels: facts, norms, and values. The subject of equity has never been analysed as completely as in this work. It includes a dynamic study of the different types of equity throughout history and in the different legal systems; the concept, content, limits, functions and types of equity; the relationship between equity and related ideas, and equity in all the branches of the legal order.
365 Days of Progress In Neuro-Oncology and Neurosurgical Oncology
“365 Days of Progress” is part of a wider series of Research Topics across Frontiers in Oncology, hosted by our Specialty Chief Editors, showcasing popular articles from 2021 igniting interest in the field. This Research Topic aims to highlight the work featured and spark further discussion. The Neuro-Oncology and Neurosurgical Oncology field is continuously evolving, therefore we are seeking to understand developments and perspectives on articles that have attracted attention throughout the year. We welcome Opinions, Perspectives, and Mini-Review article types to facilitate this discussion. We also welcome updated original data following the research featured in this collection. Please ...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Glioma Imaging
This book covers physiologic, metabolic and molecular imaging for gliomas. Gliomas are the most common primary brain tumors. Imaging is critical for glioma management because of its ability to noninvasively define the anatomic location and extent of disease. While conventional MRI is used to guide current treatments, multiple studies suggest molecular features of gliomas may be identified with noninvasive imaging, including physiologic MRI and amino acid positron emission tomography (PET). These advanced imaging techniques have the promise to help elucidate underlying tumor biology and provide important information that could be integrated into routine clinical practice. The text outlines cu...
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Deciphering the T Cell Response in SARS-CoV-2 Infection
COVID-19 is a recently emerged infectious disease caused by the novel coronavirus SARS-CoV-2. The immune system has a primary role in pathogen elimination and a rapid and effective response can limit disease severity. In this context, T cells play the major role in cell mediated adaptive immune response. The protective role of CD4+ and CD8+ T cells has been inferred from studies on patients who recovered from SARS and MERS and accumulating data are now showing their relevance in SARS-CoV-2 infection. Moreover, memory T cells induced by previous pathogens can shape the susceptibility to, and the clinical severity of other infections, but the complete picture has yet to be elucidated. If the virus is not rapidly eliminated, COVID-19 may progress towards a secondary inflammatory phase that is directly responsible for a worsening in clinical symptoms and immune system impairment. Besides marked lymphopenia, COVID-19 patients’ T cell compartment displays several alterations involving different subpopulations of T cells in terms of phenotype, metabolic profile and functionality.
