相关实验视频

Updated: Jun 6, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

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科尔LabelNet:一个全面的框架,用于多标签的胸部X射线图像分类与相关性指导区分特征学习和过量采样.

Kai Zhang1,2, Wei Liang1,2, Peng Cao3,4

  • 1Computer Science and Engineering, Northeastern University, Shenyang, China.

Medical & biological engineering & computing
|November 28, 2024
PubMed
概括

这项研究引入了多标签胸部X射线分类的新框架,有效地学习和利用标签相关性. 这种方法通过解决数据不平衡和增强特征学习来改善临床诊断,从而改善深度学习模型.

关键词:
图像的分类图像的分类.标签相关性和多标签学习过量采样过度采样

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