Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer

MLA

Drukker, Karen, et al. “Evaluating the Sensitivity of Deep Learning to Inter-Reader Variations in Lesion Delineations on Bi-Parametric MRI in Identifying Clinically Significant Prostate Cancer.” Proceedings of SPIE, vol. 12033, no. 1, Apr. 2022, p. 120330Z–120330Z–10. EBSCOhost, https://doi.org/10.1117/12.2613245.

APA

Drukker, K., Iftekharuddin, K. M., Lu, H., Mazurowski, M. A., Muramatsu, C., Samala, R. K., Roge, A., Hiremath, A., Sobota, M., Tirumani, S. H., Kayat Bittencourt, L., Ream, J., Ward, R., Olaniyan, H., Verma, S., Purysko, A., Madabhushi, A., & Shiradkar, R. (2022). Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. Proceedings of SPIE, 12033(1), 120330Z–120330Z–10. https://doi.org/10.1117/12.2613245

Chicago

Drukker, Karen, Khan M. Iftekharuddin, Hongbing Lu, Maciej A. Mazurowski, Chisako Muramatsu, Ravi K. Samala, Ansh Roge, et al. 2022. “Evaluating the Sensitivity of Deep Learning to Inter-Reader Variations in Lesion Delineations on Bi-Parametric MRI in Identifying Clinically Significant Prostate Cancer.” Proceedings of SPIE 12033 (1): 120330Z–120330Z–10. doi:10.1117/12.2613245.