Fujima, N.; Shimizu, Y.; Yoshida, D.; Kano, S.; Mizumachi, T.; Homma, A.; Yasuda, K.; Onimaru, R.; Sakai, O.; Kudo, K.;
et al. Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study. Cancers 2019, 11, 800.
https://doi.org/10.3390/cancers11060800
AMA Style
Fujima N, Shimizu Y, Yoshida D, Kano S, Mizumachi T, Homma A, Yasuda K, Onimaru R, Sakai O, Kudo K,
et al. Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study. Cancers. 2019; 11(6):800.
https://doi.org/10.3390/cancers11060800
Chicago/Turabian Style
Fujima, Noriyuki, Yukie Shimizu, Daisuke Yoshida, Satoshi Kano, Takatsugu Mizumachi, Akihiro Homma, Koichi Yasuda, Rikiya Onimaru, Osamu Sakai, Kohsuke Kudo,
and et al. 2019. "Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study" Cancers 11, no. 6: 800.
https://doi.org/10.3390/cancers11060800
APA Style
Fujima, N., Shimizu, Y., Yoshida, D., Kano, S., Mizumachi, T., Homma, A., Yasuda, K., Onimaru, R., Sakai, O., Kudo, K., & Shirato, H.
(2019). Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study. Cancers, 11(6), 800.
https://doi.org/10.3390/cancers11060800