scholarly article | Q13442814 |
P50 | author | Wen Wang | Q59208368 |
P2093 | author name string | Jie Zhang | |
Yu Han | |||
Qiang Tian | |||
Li Mao | |||
Sha-Sha Zhao | |||
Guang-Bin Cui | |||
Lin-Feng Yan | |||
Yu-Chuan Hu | |||
Xiu-Li Li | |||
Ying-Zhi Sun | |||
Shu-Ning Shen | |||
Si-Chao Cheng | |||
Xiang-Wei Ge | |||
Xiu-Long Feng | |||
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From the archives of the AFIP: Oligodendroglioma and its variants: radiologic-pathologic correlation | Q31018077 | ||
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P4510 | describes a project that uses | machine learning | Q2539 |
P433 | issue | 1 | |
P921 | main subject | machine learning | Q2539 |
P304 | page(s) | 48 | |
P577 | publication date | 2020-02-07 | |
P1433 | published in | BMC Neurology | Q15763734 |
P1476 | title | Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images | |
P478 | volume | 20 |
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