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Updated: Jun 16, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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通过使用深度神经网络在多读器数据集上的胸部X射线对肺部疾病的信心意识严重性评估

Mohammadreza Zandehshahvar1, Marly van Assen2, Eun Kim2

  • 1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA.

Journal of imaging informatics in medicine
|August 20, 2024
PubMed
概括

使用贝叶斯神经网络 (BNNs) 的新方法接近蒙特卡洛脱落 (MCD) 来准确地从胸部X射线 (CXRs) 进行COVID-19肺部疾病严重程度分类,超过人类放射学家.

关键词:
自信意识预测的预测.深度学习是一种深度学习.肺部疾病是一种肺部疾病.严重程度 严重程度不确定性 不确定性

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