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Updated: Jul 1, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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预期最大化伪标签伪标签

Moucheng Xu1, Yukun Zhou2, Chen Jin3

  • 1UCL Centre for Medical Image Computing (CMIC), University College London, 90 High Holborn, London, WC1V 6LJ, UK; UCL Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK; Satsuma Lab, University College Londo, 90 High Holborn, WC1V 6LJ, UK.

Medical image analysis
|March 1, 2024
PubMed
概括

这项研究将伪标签与期望最大化联系起来,引入贝叶斯伪标签,以改善半监督医疗图像细分. 这种方法提高了模型的稳定性和准确性,在细分各种解剖结构.

关键词:
贝叶斯深度学习是贝叶斯的深度学习.预期最大化 预期最大化生成型模型是一种生成型模型.伪标签是一种伪标签.坚固性 坚固性分段化 分段化 分段化 分段化半监督学习 半监督学习

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