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

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Anotace knihy

This book constitutes the refereed proceedings of the Third Second 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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
• Autor: Jordina Torrents Barrena, William M. Wells, Jana Hutter, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Christopher Macgowan, Ryutaro Tanno, Esra Abaci Turk, Koen van Leemput
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 296
• EAN: 9783030877347
• ISBN: 3030877345
• ID: 37234935
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 480 g
• Rozměry: 235 × 155 × 17 mm
• Datum vydání: 01. October 2021

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