Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

Author:

Buddenkotte ThomasORCID,Escudero Sanchez LorenaORCID,Crispin-Ortuzar Mireia,Woitek Ramona,McCague Cathal,Brenton James D.,Öktem OzanORCID,Sala EvisORCID,Rundo LeonardoORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference27 articles.

1. A review of uncertainty quantification in deep learning: Techniques, applications and challenges;Abdar;Inf. Fusion,2021

2. Uncalibrated models can improve human-AI collaboration;Vodrahalli,2022

3. A survey of deep active learning;Ren;ACM Comput. Surv.,2022

4. TotalSegmentator: robust segmentation of 104 anatomical structures in CT images;Wasserthal,2022

5. Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation;Yu,2019

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