APA (7th ed.) Citation

Zhao, W., Hou, M., Wang, J., Song, D., & Niu, Y. Interpretable machine learning model for predicting clinically significant prostate cancer: Integrating intratumoral and peritumoral radiomics with clinical and metabolic features. BMC.

Chicago Style (17th ed.) Citation

Zhao, Wenjun, Mengyan Hou, Juan Wang, Dan Song, and Yongchao Niu. Interpretable Machine Learning Model for Predicting Clinically Significant Prostate Cancer: Integrating Intratumoral and Peritumoral Radiomics with Clinical and Metabolic Features. BMC.

MLA (9th ed.) Citation

Zhao, Wenjun, et al. Interpretable Machine Learning Model for Predicting Clinically Significant Prostate Cancer: Integrating Intratumoral and Peritumoral Radiomics with Clinical and Metabolic Features. BMC.