An uncertainty-aware self-training framework with consistency regularization for the multilabel classification of common computed tomography signs in lung nodules.

Ketian Zhan,Yunpeng Wang,Yaoyao Zhuo,Yi Zhan,Qinqin Yan,Fei Shan,Lingxiao Zhou,Xinrong Chen,Lei Liu

Quantitative imaging in medicine and surgery（2023）

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摘要

We realized the optimal MLC of lung nodule signs with our proposed 3D CNN. Our proposed SSL method can also offer an efficient solution for the insufficiency of labeled data that may exist in the MLC tasks of 3D medical images.

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关键词

Computed tomography signs, multilabel classification (MLC), semi-supervised learning (SSL), computed tomography (CT), 3D convolutional neural networks

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