CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER
Dongdong,Yu1; Mu,Zhou2; Feng,Yang3; Di,Dong1; Olivier,Gevaert2; Zaiyi,Liu4; Jingyun,Shi5; Jie,Tian1
2017
会议名称ISBI2017
会议录名称IEEE International Symposium on Biomedical Imaging. 2017.
会议日期2017.04.17-2017.04.22
会议地点澳大利亚墨尔本
摘要Quantitative imaging biomarkers identification has become a powerful tool for predictive diagnosis given increasingly available clinical imaging data. In parallel, molecular profiles have been well documented in non-small cell lung cancers (NSCLCs). However, there has been limited studies on leveraging the two major sources for improving lung cancer computer-aided diagnosis. In this paper, we investigate the problem of predicting molecular profiles with CT imaging arrays in NSCLC. In particular, we formulate a discriminative convolutional neural network to learn deep features for predicting epidermal growth factor receptor (EGFR) mutation states that are associated with cancer cell growth. We evaluated our approach on two independent datasets including a discovery set with 595 patients (Datset1) and a validation set with 89 patients (Dataset2). Extensive experimental results demonstrated that the learned CNN-based features are effective in predicting EGFR mutation states (AUC=0.828, ACC=76.16%) on Dataset1, and it further demonstrated generalized predictive performance (AUC=0.668, ACC=67.55%) on Dataset2.
关键词Non-small Cell Lung Carcinoma Convolutional Neural Networks Computed Tomography Computed-aided Diagnosis
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14468
专题复杂系统管理与控制国家重点实验室_复杂系统研究
通讯作者Jie,Tian
作者单位1.The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences
2.The Stanford Center for Biomedical Informatics Research, Stanford University
3.School of Computer and Information Technology, Beijing Jiaotong University
4.Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital
5.Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine
推荐引用方式
GB/T 7714
Dongdong,Yu,Mu,Zhou,Feng,Yang,et al. CONVOLUTIONAL NEURAL NETWORKS FOR PREDICTING MOLECULAR PROFILES OF NON-SMALL CELL LUNG CANCER[C],2017.
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