TY - BOOK ID - 65573085 TI - 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 PY - 2020 SN - 3030603652 3030603644 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Artificial intelligence. KW - Pattern recognition. KW - Optical data processing. KW - Application software. KW - Artificial Intelligence. KW - Pattern Recognition. KW - Image Processing and Computer Vision. KW - Computer Appl. in Social and Behavioral Sciences. KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Optical computing KW - Visual data processing KW - Bionics KW - Electronic data processing KW - Integrated optics KW - Photonics KW - Computers KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Optical equipment KW - Diagnostic imaging KW - Data processing KW - Pattern recognition systems. KW - Computer vision. KW - Social sciences KW - Automated Pattern Recognition. KW - Computer Vision. KW - Computer Application in Social and Behavioral Sciences. KW - Data processing. KW - Machine vision KW - Vision, Computer KW - Artificial intelligence KW - Image processing KW - Pattern recognition systems KW - Pattern classification systems KW - Pattern recognition computers KW - Pattern perception KW - Computer vision UR - https://www.unicat.be/uniCat?func=search&query=sysid:65573085 AB - 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. ER -