Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation

5 June 2024

Papers citing "Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation"

4 / 4 papers shown

Title
Transformer-based out-of-distribution detection for clinically safe segmentation M. Graham Petru-Daniel Tudosiu P. Wright W. H. Pinaya J. U-King-im ... H. Jäger D. Werring P. Nachev Sebastien Ourselin M. Jorge Cardoso MedIm 19 21 0 21 May 2022
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 135 426 0 09 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015