American Psychological Association 6th edition

Goyal, V., Schaub, N. J., Voss, T. C., & Hotaling, N. A. (2023). Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines. BMC Bioinformatics, 24(1), 1-23. https://doi.org/10.1186/s12859-023-05486-8

ISO-690 (author-date, English)

GOYAL, Vishakha, SCHAUB, Nick J., VOSS, Ty C. und HOTALING, Nathan A., 2023. Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines. BMC Bioinformatics. 12 Oktober 2023. Vol. 24, no. 1, p. 1-23. DOI 10.1186/s12859-023-05486-8.

Modern Language Association 9th edition

Goyal, V., N. J. Schaub, T. C. Voss, und N. A. Hotaling. „Unbiased Image Segmentation Assessment Toolkit for Quantitative Differentiation of State-of-the-Art Algorithms and Pipelines.“. BMC Bioinformatics, Bd. 24, Nr. 1, Oktober 2023, S. 1-23, https://doi.org/10.1186/s12859-023-05486-8.

Mohr Siebeck - Recht (Deutsch - Österreich)

Goyal, Vishakha/Schaub, Nick J./Voss, Ty C./Hotaling, Nathan A.: Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines., BMC Bioinformatics 2023, 1-23.

Emerald - Harvard

Goyal, V., Schaub, N.J., Voss, T.C. und Hotaling, N.A. (2023), „Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines.“, BMC Bioinformatics, Vol. 24 No. 1, S. 1-23.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.