Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning

Abstract To develop a deep learning system based on 3D convolutional neural networks (CNNs), and to automatically predict EGFR‐mutant pulmonary adenocarcinoma in CT images. A dataset of 579 nodules with EGFR mutation status labels of mutant (Mut) or wild‐type (WT) was retrospectively analyzed. A dee...

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Hlavní autoři:	Wei Zhao, Jiancheng Yang, Bingbing Ni, Dexi Bi, Yingli Sun, Mengdi Xu, Xiaoxia Zhu, Cheng Li, Liang Jin, Pan Gao, Peijun Wang, Yanqing Hua, Ming Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2019-07-01
Edice:	Cancer Medicine
Témata:	convolutional neural networks deep learning EGFR mixup training technique radiomics
On-line přístup:	https://doi.org/10.1002/cam4.2233
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