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

The medical imaging to differentiate World Health Organization (WHO) grade II (ODG2) from III (ODG3) oligodendrogliomas still remains a challenge. We investigated whether combination of machine leaning with ra...

Source: BMC Neurology - February 7, 2020 Category: Neurology Authors: Sha-Sha Zhao, Xiu-Long Feng, Yu-Chuan Hu, Yu Han, Qiang Tian, Ying-Zhi Sun, Jie Zhang, Xiang-Wei Ge, Si-Chao Cheng, Xiu-Li Li, Li Mao, Shu-Ning Shen, Lin-Feng Yan, Guang-Bin Cui and Wen Wang Tags: Research article Source Type: research