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Mahbod A, Schaefer G, Löw C, Dorffner G, Ecker R, Ellinger I. Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation. Diagnostics. 2021; 11(6):967. https://doi.org/10.3390/diagnostics11060967

Mahbod, Amirreza, Gerald Schaefer, Christine Löw, Georg Dorffner, Rupert Ecker, and Isabella Ellinger. 2021. "Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation" Diagnostics 11, no. 6: 967. https://doi.org/10.3390/diagnostics11060967

Mahbod, A., Schaefer, G., Löw, C., Dorffner, G., Ecker, R., & Ellinger, I. (2021). Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation. Diagnostics, 11(6), 967. https://doi.org/10.3390/diagnostics11060967