Funder
Wellcome Trust
EPSRC Centre for Doctoral Training in Smart Medical Imaging
NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
NIHR Biomedical Research Unit
Engineering and Physical Sciences Research Council
National Institute for Health and Care Research
King's College London
Guy's and St Thomas' NHS Foundation Trust
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference38 articles.
1. A review of uncertainty quantification in deep learning: Techniques, applications and challenges;Abdar;Inf. Fusion,2021
2. Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020);Alizadehsani;Ann. Oper. Res.,2021
3. Pitfalls of in-domain uncertainty estimation and ensembling in deep learning;Ashukha,2020
4. Test-time data augmentation for estimation of heteroscedastic aleatoric uncertainty in deep neural network;Ayhan,2018
5. Deep ROC analysis and AUC as balanced average accuracy to improve model selection, understanding and interpretation;Carrington,2021