A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients

MLA

Quan Cai, et al. “A Model Based on CT Radiomic Features for Predicting RT-PCR Becoming Negative in Coronavirus Disease 2019 (COVID-19) Patients.” BMC Medical Imaging, vol. 20, no. 1, Oct. 2020, pp. 1–10. EBSCOhost, https://doi.org/10.1186/s12880-020-00521-z.

APA

Quan Cai, Si-Yao Du, Si Gao, Guo-Liang Huang, Zheng Zhang, Shu Li, Xin Wang, Pei-Ling Li, Peng Lv, Gang Hou, & Li-Na Zhang. (2020). A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients. BMC Medical Imaging, 20(1), 1–10. https://doi.org/10.1186/s12880-020-00521-z

Chicago

Quan Cai, Si-Yao Du, Si Gao, Guo-Liang Huang, Zheng Zhang, Shu Li, Xin Wang, et al. 2020. “A Model Based on CT Radiomic Features for Predicting RT-PCR Becoming Negative in Coronavirus Disease 2019 (COVID-19) Patients.” BMC Medical Imaging 20 (1): 1–10. doi:10.1186/s12880-020-00521-z.