Beukinga, R.J.; Poelmann, F.B.; Kats-Ugurlu, G.; Viddeleer, A.R.; Boellaard, R.; De Haas, R.J.; Plukker, J.T.M.; Hulshoff, J.B.
Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification. Diagnostics 2022, 12, 1070.
https://doi.org/10.3390/diagnostics12051070
AMA Style
Beukinga RJ, Poelmann FB, Kats-Ugurlu G, Viddeleer AR, Boellaard R, De Haas RJ, Plukker JTM, Hulshoff JB.
Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification. Diagnostics. 2022; 12(5):1070.
https://doi.org/10.3390/diagnostics12051070
Chicago/Turabian Style
Beukinga, Roelof J., Floris B. Poelmann, Gursah Kats-Ugurlu, Alain R. Viddeleer, Ronald Boellaard, Robbert J. De Haas, John Th. M. Plukker, and Jan Binne Hulshoff.
2022. "Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification" Diagnostics 12, no. 5: 1070.
https://doi.org/10.3390/diagnostics12051070
APA Style
Beukinga, R. J., Poelmann, F. B., Kats-Ugurlu, G., Viddeleer, A. R., Boellaard, R., De Haas, R. J., Plukker, J. T. M., & Hulshoff, J. B.
(2022). Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification. Diagnostics, 12(5), 1070.
https://doi.org/10.3390/diagnostics12051070