Uncertainty categories in medical image segmentation: a study of source-related diversity

1 March 2022

Papers citing "Uncertainty categories in medical image segmentation: a study of source-related diversity"

5 / 5 papers shown

Title
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 30 16 0 16 Jan 2024
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation N. Molchanova Vatsal Raina A. Malinin Francesco La Rosa A. Depeursinge Mark J. F. Gales C. Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 38 4 0 15 Nov 2023
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation Andre Ye Quan Ze Chen Amy X. Zhang UQCV 27 1 0 15 Aug 2023
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015