Li, C.; Chen, H.; Zhang, B.; Fang, Y.; Sun, W.; Wu, D.; Su, Z.; Shen, L.; Wei, Q.
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Cancers 2023, 15, 5134.
https://doi.org/10.3390/cancers15215134
AMA Style
Li C, Chen H, Zhang B, Fang Y, Sun W, Wu D, Su Z, Shen L, Wei Q.
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Cancers. 2023; 15(21):5134.
https://doi.org/10.3390/cancers15215134
Chicago/Turabian Style
Li, Chao, Haiyan Chen, Bicheng Zhang, Yimin Fang, Wenzheng Sun, Dang Wu, Zhuo Su, Li Shen, and Qichun Wei.
2023. "Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer" Cancers 15, no. 21: 5134.
https://doi.org/10.3390/cancers15215134
APA Style
Li, C., Chen, H., Zhang, B., Fang, Y., Sun, W., Wu, D., Su, Z., Shen, L., & Wei, Q.
(2023). Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Cancers, 15(21), 5134.
https://doi.org/10.3390/cancers15215134
