Berijanian, M., Schaadt, N.S., Huang, B., Lotz, J., Feuerhake, F. und Merhof, D. (2023) Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy [cd]. Freiburg: Universität. doi:10.1016/j.jpi.2023.100195.
Chicago Manual of Style 17th edition (full note)Berijanian, Maryam, Nadine S. Schaadt, Boqiang Huang, Johannes Lotz, Friedrich Feuerhake, und Dorit Merhof. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. Cd. Freiburg: Universität, [2023?], Freiburg: Universität, [2023?]. https://doi.org/10.1016/j.jpi.2023.100195.
American Psychological Association 7th editionBerijanian, M., Schaadt, N. S., Huang, B., Lotz, J., Feuerhake, F., & Merhof, D. (ca. 2023). Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy [Cd]. Universität. https://doi.org/10.1016/j.jpi.2023.100195
Modern Language Association 9th editionBerijanian, M., N. S. Schaadt, B. Huang, J. Lotz, F. Feuerhake, und D. Merhof. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. cd, Universität, 2023, https://doi.org/10.1016/j.jpi.2023.100195.
ISO-690 (author-date, Deutsch)BERIJANIAN, Maryam, Nadine S. SCHAADT, Boqiang HUANG, Johannes LOTZ, Friedrich FEUERHAKE und Dorit MERHOF, 2023. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. Freiburg: Universität