Development and validation of an artificial intelligence‐based system for predicting colorectal cancer invasion depth using multi‐modal data.

MLA

Yao, Liwen, et al. “Development and Validation of an Artificial Intelligence‐based System for Predicting Colorectal Cancer Invasion Depth Using Multi‐modal Data.” Digestive Endoscopy, vol. 35, no. 5, July 2023, pp. 625–35. EBSCOhost, https://doi.org/10.1111/den.14493.

APA

Yao, L., Lu, Z., Yang, G., Zhou, W., Xu, Y., Guo, M., Huang, X., He, C., Zhou, R., Deng, Y., Wu, H., Chen, B., Gong, R., Zhang, L., Zhang, M., Gong, W., & Yu, H. (2023). Development and validation of an artificial intelligence‐based system for predicting colorectal cancer invasion depth using multi‐modal data. Digestive Endoscopy, 35(5), 625–635. https://doi.org/10.1111/den.14493

Chicago

Yao, Liwen, Zihua Lu, Genhua Yang, Wei Zhou, Youming Xu, Mingwen Guo, Xu Huang, et al. 2023. “Development and Validation of an Artificial Intelligence‐based System for Predicting Colorectal Cancer Invasion Depth Using Multi‐modal Data.” Digestive Endoscopy 35 (5): 625–35. doi:10.1111/den.14493.