High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.

MLA

McElliott, Madison C., et al. “High-Throughput Image Analysis with Deep Learning Captures Heterogeneity and Spatial Relationships after Kidney Injury.” Scientific Reports, vol. 13, no. 1, Apr. 2023, p. 6361. EBSCOhost, https://doi.org/10.1038/s41598-023-33433-3.

APA

McElliott, M. C., Al-Suraimi, A., Telang, A. C., Ference-Salo, J. T., Chowdhury, M., Soofi, A., Dressler, G. R., & Beamish, J. A. (2023). High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury. Scientific Reports, 13(1), 6361. https://doi.org/10.1038/s41598-023-33433-3

Chicago

McElliott, Madison C, Anas Al-Suraimi, Asha C Telang, Jenna T Ference-Salo, Mahboob Chowdhury, Abdul Soofi, Gregory R Dressler, and Jeffrey A Beamish. 2023. “High-Throughput Image Analysis with Deep Learning Captures Heterogeneity and Spatial Relationships after Kidney Injury.” Scientific Reports 13 (1): 6361. doi:10.1038/s41598-023-33433-3.