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Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review 期刊论文
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2024, 卷号: 17, 页码: 118-135
作者:  Wang, Zipei;  Fang, Mengjie;  Zhang, Jie;  Tang, Linquan;  Zhong, Lianzhen;  Li, Hailin;  Cao, Runnan;  Zhao, Xun;  Liu, Shengyuan;  Zhang, Ruofan;  Xie, Xuebin;  Mai, Haiqiang;  Qiu, Sufang;  Tian, Jie;  Dong, Di
收藏  |  浏览/下载：0/0  |  提交时间：2024/07/03
Artificial intelligence  Medical diagnostic imaging  Image segmentation  medical imaging  nasopharyngeal carcinoma  precision diagnosis and treatment  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：323/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：400/73  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma