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Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Im; Second International Carole H. Sudre,

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书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Im
副标题Second International
编辑Carole H. Sudre,Hamid Fehri,Sarah Parisot
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Im; Second International Carole H. Sudre,
描述This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic..For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world...GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts..
出版日期Conference proceedings 2020
关键词artificial intelligence; bioinformatics; computer vision; deep learning; graph theory; image analysis; ima
版次1
doihttps://doi.org/10.1007/978-3-030-60365-6
isbn_softcover978-3-030-60364-9
isbn_ebook978-3-030-60365-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Im978-3-030-60365-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical ImSecond International
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in the treatment of mood disorders. However, the actual breakthrough for the development of iproniazid as an antidepressant came from clinical observations. Various investigators had reported psychostimulant side effects of the MAO inhibitor in patients with tuberculosis and other chronic diseases.
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Mark S. Graham,Carole H. Sudre,Thomas Varsavsky,Petru-Daniel Tudosiu,Parashkev Nachev,Sebastien Ourstance of selenium in the regulation of oxidative damage [4,5], interest has grown in the synthesis of organic compounds on the basis of the biological and chemical properties of their selenium moieties rather than as analogues of known compounds.
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Robin Camarasa,Daniel Bos,Jeroen Hendrikse,Paul Nederkoorn,Eline Kooi,Aad van der Lugt,Marleen de Brillness, incapacitation and demand for health services, have an important impact on a society’s economy. The paragraphs that follow are viewed within this broad context. They focus on how presynaptic events in the cholinergic system are involved as living organisms cope with their physical and psychosocial environments.
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