Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
JOINT MULTI-TASK LEARNING FOR SURVIVAL PREDICTION OF GASTRIC CANCER PATIENTS USING CT IMAGES | |
Liwen Zhang1,2![]() ![]() | |
2021 | |
会议名称 | IEEE International Symposium on Biomedical Imaging |
会议日期 | 2021-4 |
会议地点 | 线上会议 |
出版者 | IEEE |
摘要 | Accurate pre-operative overall survival (OS) prediction of gastric patients is of great significance for personalized treatment. However, the accuracy of OS prediction has been limited by existing methods. To facilitate improvement of survival prediction, we propose a novel joint multi-task network equipped with multi-level features simultaneously predicting clinical tumor and node stages. Two independent datasets including a training set (377 patients) and a test set (122 patients) are used to evaluate our proposed network. The results indicated that the multi-task network exploits its recipe by capturing multi-level features, and sharing prognostic information from correlated tasks of clinical stages prediction, which enable our network to predict OS accurately. Our method outperforms the existing methods with the highest c-index (training: 0.73; test: 0.72). Meanwhile, our method shows better prognostic value with the highest hazard ratio (training: 3.77; test: 4.28) for dividing patients into high- and low-risk groups. |
收录类别 | CSCD |
七大方向——子方向分类 | 医学影像处理与分析 |
国重实验室规划方向分类 | AI For Science |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57482 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Jie Tian |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences 3.Department of Radiology, Guangdong General Hospital 4.Department of Radiology, Lanzhou University Second Hospital 5.Beijing Advanced Innovation Center for Big Data−Based Precision Medicine, School of Medicine,Beihang University |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Liwen Zhang,Di Dong,Zaiyi Liu,et al. JOINT MULTI-TASK LEARNING FOR SURVIVAL PREDICTION OF GASTRIC CANCER PATIENTS USING CT IMAGES[C]:IEEE,2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ISBI21__home_paperce(316KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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