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2024 - Expectation Maximisation Pseudo Labels by sachinmishra05042004 is a document available to read on EtoBox.

What is 2024 - Expectation Maximisation Pseudo Labels about?

This paper explores pseudo-labelling in the context of semi-supervised learning for medical image segmentation, linking it to the Expectation Maximisation (EM) algorithm. It introduces Bayesian Pseudo Labels and a variational approach to enhance the quality of pseudo labels, addressing issues like confirmation bias. The study demonstrates the application of these techniques in various medical imaging tasks, showcasing their effectiveness in improving segmentation robustness.

Author

sachinmishra05042004

Language

EN