Article Versions Notes

Song H, Bak S, Kim I, Woo JY, Cho EJ, Choi YJ, Rha SE, Oh SA, Youn SY, Lee SJ. An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer. Journal of Clinical Medicine. 2022; 11(1):229. https://doi.org/10.3390/jcm11010229

Song, Heekyoung, Seongeun Bak, Imhyeon Kim, Jae Yeon Woo, Eui Jin Cho, Youn Jin Choi, Sung Eun Rha, Shin Ah Oh, Seo Yeon Youn, and Sung Jong Lee. 2022. "An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer" Journal of Clinical Medicine 11, no. 1: 229. https://doi.org/10.3390/jcm11010229

Song, H., Bak, S., Kim, I., Woo, J. Y., Cho, E. J., Choi, Y. J., Rha, S. E., Oh, S. A., Youn, S. Y., & Lee, S. J. (2022). An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer. Journal of Clinical Medicine, 11(1), 229. https://doi.org/10.3390/jcm11010229