A0977 - Assessment of a novel bpMRI-based machine learning framework to automate the detection of clinically significant prostate cancer using the PI-CAI (Prostate Imaging: Cancer AI) challenge dataset.

MLA

Cacciamani, G., et al. “A0977 - Assessment of a Novel BpMRI-Based Machine Learning Framework to Automate the Detection of Clinically Significant Prostate Cancer Using the PI-CAI (Prostate Imaging: Cancer AI) Challenge Dataset.” European Urology, vol. 83, Feb. 2023, pp. S1398–99. EBSCOhost, https://doi.org/10.1016/S0302-2838(23)01017-5.

APA

Cacciamani, G., Kaneko, M., Magouliantis, V., Yang, Y., Duddalwar, V., Kuo, C.-C. J., Gill, I. S., Abreu, A. L., & Nikias, C. L. (2023). A0977 - Assessment of a novel bpMRI-based machine learning framework to automate the detection of clinically significant prostate cancer using the PI-CAI (Prostate Imaging: Cancer AI) challenge dataset. European Urology, 83, S1398–S1399. https://doi.org/10.1016/S0302-2838(23)01017-5

Chicago

Cacciamani, G., M. Kaneko, V. Magouliantis, Y. Yang, V. Duddalwar, C-C.J. Kuo, I.S. Gill, A.L. Abreu, and C.L. Nikias. 2023. “A0977 - Assessment of a Novel BpMRI-Based Machine Learning Framework to Automate the Detection of Clinically Significant Prostate Cancer Using the PI-CAI (Prostate Imaging: Cancer AI) Challenge Dataset.” European Urology 83 (February): S1398–99. doi:10.1016/S0302-2838(23)01017-5.