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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：395/64  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 14, 页码: 4271-4279
作者:  Peng, Hao;  Dong, Di;  Fang, Meng-Jie;  Li, Lu;  Tang, Ling-Long;  Chen, Lei;  Li, Wen-Fei;  Mao, Yan-Ping;  Fan, Wei;  Liu, Li-Zhi;  Tian, Li;  Lin, Ai-Hua;  Sun, Ying;  Tian, Jie;  Ma, Jun
浏览  |  Adobe PDF(1141Kb)  |  收藏  |  浏览/下载：352/55  |  提交时间：2019/12/16
Advanced Nasopharyngeal Carcinoma  
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238
作者:  Lu, Wei;  Zhong, Lianzhen;  Dong, Di;  Fang, Mengjie;  Dai, Qi;  Leng, Shaoyi;  Zhang, Liwen;  Sun, Wei;  Tian, Jie;  Zheng, Jianjun;  Jin, Yinhua
Adobe PDF(781Kb)  |  收藏  |  浏览/下载：383/69  |  提交时间：2019/12/16
Forecasting  Thyroid neoplasms  Lymphatic metastasis  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载：323/53  |  提交时间：2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms