PMFF-Net:基于深度学习的图像分类模型,用于UIP,NSIP和OP

Ming-Wei Xu1, Zheng-Hua Zhang2, Xiao Wang3

  • 1Department of Respiratory Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, People's Republic of China.

概括

一个新的深度学习模型,PMFF-Net,从HRCT扫描中准确地分类间歇性肺病 (ILD) 的亚型. 这种AI工具有助于医生诊断常见间歇性肺炎 (UIP),非特异性间歇性肺炎 (NSIP) 和组织性肺炎 (OP),提高诊断准确度.

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