A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients

MLA

Samantha Bove, et al. “A Ultrasound-Based Radiomic Approach to Predict the Nodal Status in Clinically Negative Breast Cancer Patients.” Scientific Reports, vol. 12, no. 1, May 2022, pp. 1–10. EBSCOhost, https://doi.org/10.1038/s41598-022-11876-4.

APA

Samantha Bove, Maria Colomba Comes, Vito Lorusso, Cristian Cristofaro, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, Nicole Petruzzellis, Domenico Pomarico, Lucia Rinaldi, Pasquale Tamborra, Alfredo Zito, Annarita Fanizzi, & Raffaella Massafra. (2022). A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients. Scientific Reports, 12(1), 1–10. https://doi.org/10.1038/s41598-022-11876-4

Chicago

Samantha Bove, Maria Colomba Comes, Vito Lorusso, Cristian Cristofaro, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, et al. 2022. “A Ultrasound-Based Radiomic Approach to Predict the Nodal Status in Clinically Negative Breast Cancer Patients.” Scientific Reports 12 (1): 1–10. doi:10.1038/s41598-022-11876-4.