Article Versions Notes

Murakami Y, Kawahara D, Tani S, Kubo K, Katsuta T, Imano N, Takeuchi Y, Nishibuchi I, Saito A, Nagata Y. Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using ¹⁸F-FDG PET Images. Diagnostics. 2021; 11(6):1049. https://doi.org/10.3390/diagnostics11061049

Murakami, Yuji, Daisuke Kawahara, Shigeyuki Tani, Katsumaro Kubo, Tsuyoshi Katsuta, Nobuki Imano, Yuki Takeuchi, Ikuno Nishibuchi, Akito Saito, and Yasushi Nagata. 2021. "Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using ¹⁸F-FDG PET Images" Diagnostics 11, no. 6: 1049. https://doi.org/10.3390/diagnostics11061049

Murakami, Y., Kawahara, D., Tani, S., Kubo, K., Katsuta, T., Imano, N., Takeuchi, Y., Nishibuchi, I., Saito, A., & Nagata, Y. (2021). Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using ¹⁸F-FDG PET Images. Diagnostics, 11(6), 1049. https://doi.org/10.3390/diagnostics11061049