A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images.

MLA

Astaraki, Mehdi, et al. “A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images.” Frontiers in Oncology, vol. 11, Dec. 2021, pp. 1–12. EBSCOhost, https://doi.org/10.3389/fonc.2021.737368.

APA

Astaraki, M., Yang, G., Zakko, Y., Toma-Dasu, I., Smedby, Ö., & Wang, C. (2021). A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images. Frontiers in Oncology, 11, 1–12. https://doi.org/10.3389/fonc.2021.737368

Chicago

Astaraki, Mehdi, Guang Yang, Yousuf Zakko, Iuliana Toma-Dasu, Örjan Smedby, and Chunliang Wang. 2021. “A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images.” Frontiers in Oncology 11 (December): 1–12. doi:10.3389/fonc.2021.737368.