Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis (inbunden)

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Format: Häftad (Paperback / softback)
Språk: Engelska
Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Antal sidor: 296
Utgivningsdatum: 2021-10-01
Förlag: Springer Nature Switzerland AG
Medarbetare: Hutter, Jana (red.) / Tanno, Ryutaro (red.) / Abaci Turk, Esra (red.) / Van Leemput, Koen (red.) / Torrents Barrena, Jordina (red.) / Wells, William M. (red.) / Macgowan, Christopher (red.)
Dimensioner: 234 x 156 x 17 mm
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ISBN: 9783030877347

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Name: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
Price: 738.00 SEK
Availability: InStock
Author: Carole H Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca
ISBN: 9783030877347

3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

av Carole H Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca

Häftad, Engelska, 2021-10-01

738

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This book constitutes the refereed proceedings of the Third International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 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. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.

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