APA (7th ed.) Citation

PM, M., M, P., L, J., M, R., L, G., FG, H., . . . N, D. (2024). Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation. Journal of biophotonics, 17(2), e202300274. https://doi.org/10.1002/jbio.202300274

Chicago Style (17th ed.) Citation

PM, Maloca, et al. "Human Selection Bias Drives the Linear Nature of the More Ground Truth Effect in Explainable Deep Learning Optical Coherence Tomography Image Segmentation." Journal of Biophotonics 17, no. 2 (2024): e202300274. https://doi.org/10.1002/jbio.202300274.

MLA (9th ed.) Citation

PM, Maloca, et al. "Human Selection Bias Drives the Linear Nature of the More Ground Truth Effect in Explainable Deep Learning Optical Coherence Tomography Image Segmentation." Journal of Biophotonics, vol. 17, no. 2, 2024, p. e202300274, https://doi.org/10.1002/jbio.202300274.