Uncertainty for Safe Utilization of Machine Learning in Medical Imaging [electronic resource] : 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / edited by Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells.
Contributor(s): Sudre, Carole H [editor.]
| Baumgartner, Christian F [editor.] | Dalca, Adrian [editor.] | Mehta, Raghav [editor.] | Qin, Chen [editor.] | Wells, William M [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Computer Science: 14291Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XIII, 220 p. 58 illus., 54 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031443367.Subject(s): Artificial intelligence | Image processing -- Digital techniques | Computer vision | Computers | Application software | Artificial Intelligence | Computer Imaging, Vision, Pattern Recognition and Graphics | Computing Milieux | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online Uncertainty estimation and modelling -- Out of Distribution management and domain shift robustness -- Bayesian deep learning and uncertainty calibration.
This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
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