APA (7th ed.) Citation

Hu, K., Wu, Y., Huang, Y., Zhou, M., Wang, Y., & Huang, X. Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer. BMC.

Chicago Style (17th ed.) Citation

Hu, Kaimin, Yinan Wu, Yajing Huang, Meiqi Zhou, Yanyan Wang, and Xingru Huang. Annotation-free Deep Learning Algorithm Trained on Hematoxylin & Eosin Images Predicts Epithelial-to-mesenchymal Transition Phenotype and Endocrine Response in Estrogen Receptor-positive Breast Cancer. BMC.

MLA (9th ed.) Citation

Hu, Kaimin, et al. Annotation-free Deep Learning Algorithm Trained on Hematoxylin & Eosin Images Predicts Epithelial-to-mesenchymal Transition Phenotype and Endocrine Response in Estrogen Receptor-positive Breast Cancer. BMC.