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Updated: Jun 8, 2026

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从使用深度学习的胸部X射线图像的像素级厚度图来估计肺部总体体积.

Tina Dorosti1,2,3, Manuel Schultheiß1,2,3, Philipp Schmette1

  • 1Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, Boltzmannstrasse 11, 85748 Garching, Germany.

Radiology. Artificial intelligence
|May 28, 2025
PubMed
概括

一个U-Net深度学习模型使用像素级肺厚度图准确地估计了前额胸部X射线图的肺总体体积 (TLV). 这种方法显示出强烈的相关性和低误差,证明了对合成和真实放射数据的有效性.

关键词:
额头胸部X射线图 额头胸部X射线图肺厚度地图 肺厚度地图像素级别的像素级别.肺部总体容量 肺部总体容量这就是U-Net.

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