APA (7th ed.) Citation

Burrows, L., Chen, K., Guo, W., Hossack, M., McWilliams, R. G., & Torella, F. (2022). Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning. Scientific Reports, 12(1), 1. https://doi.org/10.1038/s41598-022-18173-0

Chicago Style (17th ed.) Citation

Burrows, Liam, Ke Chen, Weihong Guo, Martin Hossack, Richard G. McWilliams, and Francesco Torella. "Evaluation of a Hybrid Pipeline for Automated Segmentation of Solid Lesions Based on Mathematical Algorithms and Deep Learning." Scientific Reports 12, no. 1 (2022): 1. https://doi.org/10.1038/s41598-022-18173-0.

MLA (9th ed.) Citation

Burrows, Liam, et al. "Evaluation of a Hybrid Pipeline for Automated Segmentation of Solid Lesions Based on Mathematical Algorithms and Deep Learning." Scientific Reports, vol. 12, no. 1, 2022, p. 1, https://doi.org/10.1038/s41598-022-18173-0.