Additional file 2 of Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features

مواد مشابهة

• Additional file 5 of Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features
  حسب: Mingzhi Lin (22116244)
  منشور في: (2025)
• Additional file 4 of Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features
  حسب: Mingzhi Lin (22116244)
  منشور في: (2025)
• Additional file 3 of Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features
  حسب: Mingzhi Lin (22116244)
  منشور في: (2025)
• Additional file 1 of Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features
  حسب: Mingzhi Lin (22116244)
  منشور في: (2025)
• Data Sheet 1_CT-based habitat radiomics for preoperative differentiation of adenocarcinoma in situ/minimally invasive adenocarcinoma from invasive adenocarcinoma manifesting as ground-glass nodules: a multicenter study.docx
  حسب: Ning Dong (340660)
  منشور في: (2025)