Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed

27 May 2022

Papers citing "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed"

5 / 5 papers shown

Title
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 36 0 0 13 May 2025
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 9 35 0 28 Nov 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015