Massafra, R.; Comes, M.C.; Bove, S.; Didonna, V.; Gatta, G.; Giotta, F.; Fanizzi, A.; La Forgia, D.; Latorre, A.; Pastena, M.I.;
et al. Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy. J. Pers. Med. 2022, 12, 953.
https://doi.org/10.3390/jpm12060953
AMA Style
Massafra R, Comes MC, Bove S, Didonna V, Gatta G, Giotta F, Fanizzi A, La Forgia D, Latorre A, Pastena MI,
et al. Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy. Journal of Personalized Medicine. 2022; 12(6):953.
https://doi.org/10.3390/jpm12060953
Chicago/Turabian Style
Massafra, Raffaella, Maria Colomba Comes, Samantha Bove, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Annarita Fanizzi, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena,
and et al. 2022. "Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy" Journal of Personalized Medicine 12, no. 6: 953.
https://doi.org/10.3390/jpm12060953
APA Style
Massafra, R., Comes, M. C., Bove, S., Didonna, V., Gatta, G., Giotta, F., Fanizzi, A., La Forgia, D., Latorre, A., Pastena, M. I., Pomarico, D., Rinaldi, L., Tamborra, P., Zito, A., Lorusso, V., & Paradiso, A. V.
(2022). Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy. Journal of Personalized Medicine, 12(6), 953.
https://doi.org/10.3390/jpm12060953
