Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer

MLA

Sunghoon Joo, et al. “Multimodal Deep Learning Models for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.” Scientific Reports, vol. 11, no. 1, Sept. 2021, pp. 1–8. EBSCOhost, https://doi.org/10.1038/s41598-021-98408-8.

APA

Sunghoon Joo, Eun Sook Ko, Soonhwan Kwon, Eunjoo Jeon, Hyungsik Jung, Ji-Yeon Kim, Myung Jin Chung, & Young-Hyuck Im. (2021). Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer. Scientific Reports, 11(1), 1–8. https://doi.org/10.1038/s41598-021-98408-8

Chicago

Sunghoon Joo, Eun Sook Ko, Soonhwan Kwon, Eunjoo Jeon, Hyungsik Jung, Ji-Yeon Kim, Myung Jin Chung, and Young-Hyuck Im. 2021. “Multimodal Deep Learning Models for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.” Scientific Reports 11 (1): 1–8. doi:10.1038/s41598-021-98408-8.