医学
放射科
寻常性间质性肺炎
人工智能
高分辨率计算机断层扫描
深度学习
间质性肺病
肺
计算机科学
计算机断层摄影术
内科学
作者
Mingwei Xu,Zhenghua Zhang,Xiao Wang,Chuntao Li,Huiyun Yang,Ze-hua Liao,Jianqing Zhang
标识
DOI:10.1016/j.compbiomed.2025.110618
摘要
This study found that the PMFF-Net model can effectively classify UIP, NSIP, OP imaging types, and normal imaging, which can help doctors of different hospital levels and departments make clinical decisions quickly and effectively.
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