Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning | |
Zhao, Wei; Yang, Jiancheng; Ni, Bingbing; Bi, Dexi; Sun, Yingli; Xu, Mengdi; Zhu, Xiaoxia; Li, Cheng; Jin, Liang; Gao, Pan | |
刊名 | CANCER MEDICINE |
2019 | |
卷号 | 8期号:7 |
关键词 | convolutional neural networks deep learning EGFR mixup training technique radiomics |
ISSN号 | 2045-7634 |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3597874 |
专题 | 复旦大学上海医学院 |
推荐引用方式 GB/T 7714 | Zhao, Wei,Yang, Jiancheng,Ni, Bingbing,et al. Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning[J]. CANCER MEDICINE,2019,8(7). |
APA | Zhao, Wei.,Yang, Jiancheng.,Ni, Bingbing.,Bi, Dexi.,Sun, Yingli.,...&Li, Ming.(2019).Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.CANCER MEDICINE,8(7). |
MLA | Zhao, Wei,et al."Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning".CANCER MEDICINE 8.7(2019). |
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