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Updated: Jun 26, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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在放射学中实现可解释的AI:使用弱监督学习的胸部X射线图像有效定位胸部疾病的Ensemble-CAM

Muhammad Aasem1, Muhammad Javed Iqbal1

  • 1Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan.

Frontiers in big data
|May 17, 2024
PubMed
概括

这项研究介绍了Ensemble-CAM,这是一种用于胸部X射线分析的新型深度学习模型. 它提高了诊断准确性和可解释性,同时减少了对大量数据注释的需求.

关键词:
类激活地图的类.计算机辅助诊断是指计算机辅助的诊断.组合学习组合学习可解释的人工智能转移学习转移学习监督学习能力较弱的监督学习.

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