APA (7th ed.) Citation

Scalco, E., Pozzi, S., Rizzo, G., & Lanzarone, E. (2024). Uncertainty quantification in multi‐class segmentation: Comparison between Bayesian and non‐Bayesian approaches in a clinical perspective. Medical Physics, 51(9), 6090. https://doi.org/10.1002/mp.17189

Chicago Style (17th ed.) Citation

Scalco, Elisa, Silvia Pozzi, Giovanna Rizzo, and Ettore Lanzarone. "Uncertainty Quantification in Multi‐class Segmentation: Comparison Between Bayesian and Non‐Bayesian Approaches in a Clinical Perspective." Medical Physics 51, no. 9 (2024): 6090. https://doi.org/10.1002/mp.17189.

MLA (9th ed.) Citation

Scalco, Elisa, et al. "Uncertainty Quantification in Multi‐class Segmentation: Comparison Between Bayesian and Non‐Bayesian Approaches in a Clinical Perspective." Medical Physics, vol. 51, no. 9, 2024, p. 6090, https://doi.org/10.1002/mp.17189.