APA (7th ed.) Citation

Funk, J., Clement, G., Togninalli, M., Cohen, Y., Albrecht, T., Sullivan, R., . . . Schumacher, V. (2025). Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal. Toxicologic pathology, 53(5), 456. https://doi.org/10.1177/01926233251339653

Chicago Style (17th ed.) Citation

Funk, Juergen, et al. "Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal." Toxicologic Pathology 53, no. 5 (2025): 456. https://doi.org/10.1177/01926233251339653.

MLA (9th ed.) Citation

Funk, Juergen, et al. "Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal." Toxicologic Pathology, vol. 53, no. 5, 2025, p. 456, https://doi.org/10.1177/01926233251339653.