APA (7th ed.) Citation

Lin, Y., Lin, C., Lu, H., Chiang, H., Wang, H., Huang, Y., . . . Lin, G. (2020). Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer. European radiology, 30(3), 1297-1305. https://doi.org/10.1007/s00330-019-06467-3

Chicago Style (17th ed.) Citation

Lin, Yu-Chun, et al. "Deep Learning for Fully Automated Tumor Segmentation and Extraction of Magnetic Resonance Radiomics Features in Cervical Cancer." European Radiology 30, no. 3 (2020): 1297-1305. https://doi.org/10.1007/s00330-019-06467-3.

MLA (9th ed.) Citation

Lin, Yu-Chun, et al. "Deep Learning for Fully Automated Tumor Segmentation and Extraction of Magnetic Resonance Radiomics Features in Cervical Cancer." European Radiology, vol. 30, no. 3, 2020, pp. 1297-1305, https://doi.org/10.1007/s00330-019-06467-3.