Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Graphs in Biomedical Image Analysis

This book PDF is perfect for those who love Computers genre, written by Carole H. Sudre and published by Springer Nature which was released on 05 October 2020 with total hardcover pages 233. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Graphs in Biomedical Image Analysis books below.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging  and Graphs in Biomedical Image Analysis
Author : Carole H. Sudre
File Size : 48,7 Mb
Publisher : Springer Nature
Language : English
Release Date : 05 October 2020
ISBN : 9783030603656
Pages : 233 pages
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Graphs in Biomedical Image Analysis by Carole H. Sudre Book PDF Summary

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.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging  and Graphs in Biomedical Image Analysis

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

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