Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.

MLA

Ma, Xiaoling, et al. “Development and Validation of a Deep Learning Signature for Predicting Lymph Node Metastasis in Lung Adenocarcinoma: Comparison with Radiomics Signature and Clinical-Semantic Model.” European Radiology, vol. 33, no. 3, Mar. 2023, pp. 1949–62. EBSCOhost, https://doi.org/10.1007/s00330-022-09153-z.

APA

Ma, X., Xia, L., Chen, J., Wan, W., & Zhou, W. (2023). Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model. European Radiology, 33(3), 1949–1962. https://doi.org/10.1007/s00330-022-09153-z

Chicago

Ma, Xiaoling, Liming Xia, Jun Chen, Weijia Wan, and Wen Zhou. 2023. “Development and Validation of a Deep Learning Signature for Predicting Lymph Node Metastasis in Lung Adenocarcinoma: Comparison with Radiomics Signature and Clinical-Semantic Model.” European Radiology 33 (3): 1949–62. doi:10.1007/s00330-022-09153-z.