TY - GEN
T1 - Validating Uncertainty in Medical Image Translation
AU - Reinhold, Jacob C.
AU - He, Yufan
AU - Han, Shizhong
AU - Chen, Yunqiang
AU - Gao, Dashan
AU - Lee, Junghoon
AU - Prince, Jerry L.
AU - Carass, Aaron
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - Medical images are increasingly used as input to deep neural networks to produce quantitative values that aid researchers and clinicians. However, standard deep neural networks do not provide a reliable measure of uncertainty in those quantitative values. Recent work has shown that using dropout during training and testing can provide estimates of uncertainty. In this work, we investigate using dropout to estimate epistemic and aleatoric uncertainty in a CT-to-MR image translation task. We show that both types of uncertainty are captured, as defined, providing confidence in the output uncertainty estimates.
AB - Medical images are increasingly used as input to deep neural networks to produce quantitative values that aid researchers and clinicians. However, standard deep neural networks do not provide a reliable measure of uncertainty in those quantitative values. Recent work has shown that using dropout during training and testing can provide estimates of uncertainty. In this work, we investigate using dropout to estimate epistemic and aleatoric uncertainty in a CT-to-MR image translation task. We show that both types of uncertainty are captured, as defined, providing confidence in the output uncertainty estimates.
KW - Image translation
KW - uncertainty estimation
UR - http://www.scopus.com/inward/record.url?scp=85085865329&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085865329&partnerID=8YFLogxK
U2 - 10.1109/ISBI45749.2020.9098543
DO - 10.1109/ISBI45749.2020.9098543
M3 - Conference contribution
AN - SCOPUS:85085865329
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 95
EP - 98
BT - ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Y2 - 3 April 2020 through 7 April 2020
ER -