Al Mopti, A.; Alqahtani, A.; Alshehri, A.H.D.; Li, C.; Nabi, G.
Evaluating the Predictive Capability of Radiomics Features of Perirenal Fat in Enhanced CT Images for Staging and Grading of UTUC Tumours Using Machine Learning. Cancers 2025, 17, 1220.
https://doi.org/10.3390/cancers17071220
AMA Style
Al Mopti A, Alqahtani A, Alshehri AHD, Li C, Nabi G.
Evaluating the Predictive Capability of Radiomics Features of Perirenal Fat in Enhanced CT Images for Staging and Grading of UTUC Tumours Using Machine Learning. Cancers. 2025; 17(7):1220.
https://doi.org/10.3390/cancers17071220
Chicago/Turabian Style
Al Mopti, Abdulrahman, Abdulsalam Alqahtani, Ali H. D. Alshehri, Chunhui Li, and Ghulam Nabi.
2025. "Evaluating the Predictive Capability of Radiomics Features of Perirenal Fat in Enhanced CT Images for Staging and Grading of UTUC Tumours Using Machine Learning" Cancers 17, no. 7: 1220.
https://doi.org/10.3390/cancers17071220
APA Style
Al Mopti, A., Alqahtani, A., Alshehri, A. H. D., Li, C., & Nabi, G.
(2025). Evaluating the Predictive Capability of Radiomics Features of Perirenal Fat in Enhanced CT Images for Staging and Grading of UTUC Tumours Using Machine Learning. Cancers, 17(7), 1220.
https://doi.org/10.3390/cancers17071220