Test-Time Augmentation for Uncertainty Quantification in pre-trained image reconstruction deep learning networks

Satoshi Kuroki

Presentation information

Oral Session

Oral Session
Deep Learning Techniques 1

Fri. Sep 20, 2024 1:30 PM - 2:30 PM Room 6 (Makuhari Messe International Conference Hall, Meeting Room 303)

Chairs: Kumamoto Etsuko(Graduate School of System Informatics, Kobe University), Sato Hirotaka(Department of Radiology, Chiba University Hospital)

[OS1-30] Test-Time Augmentation for Uncertainty Quantification in pre-trained image reconstruction deep learning networks

*Satoshi Kuroki¹, Naoto Fujita¹, Fu Ziyu¹, Yasuhiko Terada¹ (1. Degree Programs in Pure and Applied Science, Graduate School of Science and Technology, University of Tsukuba)

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Presentation information

Oral SessionDeep Learning Techniques 1

[OS1-30] Test-Time Augmentation for Uncertainty Quantification in pre-trained image reconstruction deep learning networks

Password

Oral Session
Deep Learning Techniques 1