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                                       Details for article 14 of 70 found articles
 
 
  Deep learning radiomic nomogram outperforms the clinical model in distinguishing intracranial solitary fibrous tumors from angiomatous meningiomas and can predict patient prognosis
 
 
Title: Deep learning radiomic nomogram outperforms the clinical model in distinguishing intracranial solitary fibrous tumors from angiomatous meningiomas and can predict patient prognosis
Author: Liang, Xiaohong
Ke, Xiaoai
Hu, Wanjun
Jiang, Jian
Li, Shenglin
Xue, Caiqiang
Liu, Xianwang
Dend, Juan
Yan, Cheng
Gao, Mingzi
Zhao, Liqin
Zhou, Junlin
Appeared in: European radiology
Paging: Volume 35 () nr. 5 pages 2670-2680
Year: 2024-10-16
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 70 found articles
 
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