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

Purpose: Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic ductal adenocarcinoma (PDAC). We aimed to build deep learning radiomics (DLR) models of dual-energy computed tomography (DECT) to classify LNM status of PDAC and to stratify the overall survival before treatme...

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Detalles Bibliográficos
Publicado en:European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 4; pp. 1187 - 1200
Autores principales: An, Chao, Li, Dongyang, Li, Sheng, Li, Wangzhong, Tong, Tong, Liu, Lizhi, Jiang, Dongping, Jiang, Linling, Ruan, Guangying, Hai, Ning, Fu, Yan, Wang, Kun, Zhuo, Shuiqing, Tian, Jie
Formato: Journal Article
Publicado: Springer Nature Mar2022
Acceso en línea:Ver este registro en EBSCOhost