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Books > Computing & IT > Applications of computing > Image processing
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Paperback, 1st ed. 2020)
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Paperback, 1st ed. 2020)
Series: Lecture Notes in Computer Science, 12443
Expected to ship within 10 - 15 working days
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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.
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