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Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

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Title: Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.
Authors: An, Chao1,2, Li, Dongyang2,3, Li, Sheng4, Li, Wangzhong5, Tong, Tong3,6, Liu, Lizhi4, Jiang, Dongping4, Jiang, Linling4, Ruan, Guangying4, Hai, Ning7, Fu, Yan8, Wang, Kun3,6 kun.wang@ia.ac.cn, Zhuo, Shuiqing4 zhuosq@sysucc.edu.cn, Tian, Jie2,3,6 jie.tian@ia.ac.cn
Source: European Journal of Nuclear Medicine & Molecular Imaging. Mar2022, Vol. 49 Issue 4, p1187-1199. 13p. 1 Color Photograph, 4 Charts, 2 Graphs.
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  Data: Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Nuclear+Medicine+%26+Molecular+Imaging%22">European Journal of Nuclear Medicine & Molecular Imaging</searchLink>. Mar2022, Vol. 49 Issue 4, p1187-1199. 13p. 1 Color Photograph, 4 Charts, 2 Graphs.
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        Value: 10.1007/s00259-021-05573-z
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      – TitleFull: Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.
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              Text: Mar2022
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