Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation-Reference-Cited by-同舟云学术

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation

Author:

Ouyang Cheng¹^ORCID,Chen Chen¹^ORCID,Li Surui¹,Li Zeju¹^ORCID,Qin Chen²^ORCID,Bai Wenjia³^ORCID,Rueckert Daniel¹^ORCID

Affiliation:

1. Department of Computing, Imperial College London, London, U.K

2. Department of Electrical and Electronic Engineering and Imperial-X, Imperial College London, London, U.K

3. Department of Computing, Department of Brain Sciences, Imperial College London, London, U.K

Funder

Engineering and Physical Sciences Research Council (EPSRC) Programme

EPSRC

Innovate U.K

European Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference73 articles.

4. Regularization with stochastic transformations and perturbations for deep semi-supervised learning;sajjadi;Proc Adv Neural Inf Process Syst,2016

5. Causal intervention for weakly-supervised semantic segmentation;zhang;arXiv 2009 12547,2020

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