APA (7th ed.) Citation

Gamal, A., Sharafeldeen, A., Alnaghy, E., Alghandour, R., Saleh Alghamdi, N., Ali, K. M., . . . El-Baz, A. (2024). A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers. IEEE access, 12, 104983-105003. https://doi.org/10.1109/ACCESS.2024.3432459

Chicago Style (17th ed.) Citation

Gamal, Abdelrahman, et al. "A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers." IEEE Access 12 (2024): 104983-105003. https://doi.org/10.1109/ACCESS.2024.3432459.

MLA (9th ed.) Citation

Gamal, Abdelrahman, et al. "A Novel Machine Learning Approach for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer: Integration of Multimodal Radiomics With Clinical and Molecular Subtype Markers." IEEE Access, vol. 12, 2024, pp. 104983-105003, https://doi.org/10.1109/ACCESS.2024.3432459.