Uncertainty Estimation in Medical Image Classification: Systematic Review

• Published in: JMIR medical informatics Vol. 10; no. 8; p. e36427
• Main Authors: Kurz, Alexander, Hauser, Katja, Mehrtens, Hendrik Alexander, Krieghoff-Henning, Eva, Hekler, Achim, Kather, Jakob Nikolas, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef
• Format: Journal Article
• Language: English
• Published: Toronto JMIR Publications 02.08.2022
• Subjects: Accuracy; Calibration; Cameras; Classification; Clinical decision making; Deep learning; Diabetes; Diabetic retinopathy; Mammography; Methods; Neural networks; Review; Systematic review; Text analysis

Background: Deep neural networks are showing impressive results in different medical image classification tasks. However, for real-world applications, there is a need to estimate the network’s uncertainty together with its prediction. Objective: In this review, we investigate in what form uncertaint...