Flaus, A.; Habouzit, V.; de Leiris, N.; Vuillez, J.-P.; Leccia, M.-T.; Simonson, M.; Perrot, J.-L.; Cachin, F.; Prevot, N.
Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment. Diagnostics 2022, 12, 388.
https://doi.org/10.3390/diagnostics12020388
AMA Style
Flaus A, Habouzit V, de Leiris N, Vuillez J-P, Leccia M-T, Simonson M, Perrot J-L, Cachin F, Prevot N.
Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment. Diagnostics. 2022; 12(2):388.
https://doi.org/10.3390/diagnostics12020388
Chicago/Turabian Style
Flaus, Anthime, Vincent Habouzit, Nicolas de Leiris, Jean-Philippe Vuillez, Marie-Thérèse Leccia, Mathilde Simonson, Jean-Luc Perrot, Florent Cachin, and Nathalie Prevot.
2022. "Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment" Diagnostics 12, no. 2: 388.
https://doi.org/10.3390/diagnostics12020388
APA Style
Flaus, A., Habouzit, V., de Leiris, N., Vuillez, J.-P., Leccia, M.-T., Simonson, M., Perrot, J.-L., Cachin, F., & Prevot, N.
(2022). Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment. Diagnostics, 12(2), 388.
https://doi.org/10.3390/diagnostics12020388
