Anatomically-aware uncertainty for semi-supervised image segmentation

Author:

Adiga V. SukeshORCID,Dolz JoseORCID,Lombaert HerveORCID

Funder

Fonds de recherche du Québec – Nature et technologies

Fonds de recherche du Québec

Compute Canada

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

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

2. Leveraging labeling representations in uncertainty-based semi-supervised segmentation;Adiga Vasudeva,2022

3. 20Th anniversary of the medical image analysis journal (MedIA);Ayache;Med. Image Anal.,2016

4. Semi-supervised learning for network-based cardiac MR image segmentation;Bai,2017

5. PHiSeg: Capturing uncertainty in medical image segmentation;Baumgartner,2019

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