TY - BOOK
T1 - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
T2 - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
A2 - Greenspan, Hayit
A2 - Tanno, Ryutaro
A2 - Erdt, Marius
A2 - Arbel, Tal
A2 - Baumgartner, Christian
A2 - Dalca, Adrian
A2 - Sudre, Carole H
A2 - Wells, William M
A2 - Drechsler, Klaus
A2 - Linguraru, Marius George
A2 - Oyarzun Laura, Cristina
A2 - Wesarg, Stefan
A2 - Shekhar, Raj
A2 - González Ballester, Miguel Ángel
PY - 2019
Y1 - 2019
N2 - This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 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. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. .
AB - This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 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. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. .
U2 - 10.1007/978-3-030-32689-0
DO - 10.1007/978-3-030-32689-0
M3 - ???researchoutput.researchoutputtypes.bookanthology.book???
SN - 978-3-030-32688-3
T3 - Lecture Notes in Computer Science
BT - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
PB - Springer International Publishing; Imprint: Springer
CY - Cham
ER -
