Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

MLA

Tomita, Hayato, et al. “Unenhanced CT Texture Analysis with Machine Learning for Differentiating between Nasopharyngeal Cancer and Nasopharyngeal Malignant Lymphoma.” Nagoya Journal of Medical Science, vol. 83, no. 1, Feb. 2021, pp. 135–49. EBSCOhost, https://doi.org/10.18999/nagjms.83.1.135.

APA

Tomita, H., Yamashiro, T., Iida, G., Tsubakimoto, M., Mimura, H., & Murayama, S. (2021). Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma. Nagoya Journal of Medical Science, 83(1), 135–149. https://doi.org/10.18999/nagjms.83.1.135

Chicago

Tomita, Hayato, Tsuneo Yamashiro, Gyo Iida, Maho Tsubakimoto, Hidefumi Mimura, and Sadayuki Murayama. 2021. “Unenhanced CT Texture Analysis with Machine Learning for Differentiating between Nasopharyngeal Cancer and Nasopharyngeal Malignant Lymphoma.” Nagoya Journal of Medical Science 83 (1): 135–49. doi:10.18999/nagjms.83.1.135.