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Uncertainty for safe utilization of ...
~
(1998 :)
Uncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysis3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Uncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysisedited by Carole H. Sudre ... [et al.].
Reminder of title:
3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
remainder title:
UNSURE2021
other author:
Sudre, Carole H.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xiii, 296 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Diagnostic imagingCongresses.Data processing
Online resource:
https://doi.org/10.1007/978-3-030-87735-4
ISBN:
9783030877354$q(electronic bk.)
Uncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysis3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
Uncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysis
3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /[electronic resource] :UNSURE2021edited by Carole H. Sudre ... [et al.]. - Cham :Springer International Publishing :2021. - xiii, 296 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,129590302-9743 ;. - Lecture notes in computer science ;4891..
This book constitutes the refereed proceedings of the Third Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.
ISBN: 9783030877354$q(electronic bk.)
Standard No.: 10.1007/978-3-030-87735-4doiSubjects--Topical Terms:
445765
Diagnostic imaging
--Data processing--Congresses.
LC Class. No.: RC78.7.D53 / U57 2021
Dewey Class. No.: 616.0754
Uncertainty for safe utilization of machine learning in medical imaging, and perinatal imaging, placental and preterm image analysis3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, held in conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021 : proceedings /
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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. 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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based on 0 review(s)
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EB RC78.7.D53 U59 2021 2021
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https://doi.org/10.1007/978-3-030-87735-4
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