Unsupervised machine learning identifies predictive progression markers of IPF

被引：0
作者：
Jeanny Pan
Johannes Hofmanninger
Karl-Heinz Nenning
Florian Prayer
Sebastian Röhrich
Nicola Sverzellati
Venerino Poletti
Sara Tomassetti
Michael Weber
Helmut Prosch
Georg Langs
机构：
[1] Medical University of Vienna,Computational Imaging Research Lab, Department of Biomedical Imaging and Image
[2] Medical University of Vienna,guided Therapy
[3] University of Parma,Department of Biomedical Imaging and Image
[4] Morgagni-Pierantoni Hospital,guided Therapy
[5] Aarhus University Hospital,Unit “Scienze Radiologiche”, Department of Medicine and Surgery (DiMeC)
来源：
European Radiology | 2023年 / 33卷
关键词：
Idiopathic pulmonary fibrosis; Unsupervised machine learning; Tomography, X-ray computed;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：925 / 935
页数：10
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