Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12959)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- PIPPI: International Workshop on Preterm, Perinatal and Paediatric Image Analysis
- UNSURE: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Conference proceedings info: PIPPI 2021, UNSURE 2021.
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About this book
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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Keywords
Table of contents (27 papers)
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UNSURE 2021: Uncertainty Estimation and Modelling and Annotation Uncertainty
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UNSURE 2021: Domain Shift Robustness and Risk Management in Clinical Pipelines
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PIPPI 2021
Other volumes
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
Editors and Affiliations
Bibliographic Information
Book Title: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
Book Subtitle: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Editors: Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, … Christopher Macgowan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87735-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87734-7Published: 01 October 2021
eBook ISBN: 978-3-030-87735-4Published: 30 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 296
Number of Illustrations: 9 b/w illustrations, 103 illustrations in colour
Topics: Artificial Intelligence, Image Processing and Computer Vision, Computational Biology/Bioinformatics, Pattern Recognition