Cite
A Statistical Approach to Assess the Robustness of Radiomics Features in the Discrimination of Mammographic Lesions.
MLA
Ponsiglione, Alfonso Maria, et al. “A Statistical Approach to Assess the Robustness of Radiomics Features in the Discrimination of Mammographic Lesions.” Journal of Personalized Medicine, vol. 13, no. 7, July 2023, p. 1104. EBSCOhost, https://doi.org/10.3390/jpm13071104.
APA
Ponsiglione, A. M., Angelone, F., Amato, F., & Sansone, M. (2023). A Statistical Approach to Assess the Robustness of Radiomics Features in the Discrimination of Mammographic Lesions. Journal of Personalized Medicine, 13(7), 1104. https://doi.org/10.3390/jpm13071104
Chicago
Ponsiglione, Alfonso Maria, Francesca Angelone, Francesco Amato, and Mario Sansone. 2023. “A Statistical Approach to Assess the Robustness of Radiomics Features in the Discrimination of Mammographic Lesions.” Journal of Personalized Medicine 13 (7): 1104. doi:10.3390/jpm13071104.