APA (7th ed.) Citation

SH, B., S, C., Y, H., S, O., T, W., A, B., & GJR, C. (2024). Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC medical informatics and decision making, 24(1), 396. https://doi.org/10.1186/s12911-024-02814-7

Chicago Style (17th ed.) Citation

SH, Barlow, Chicklore S, He Y, Ourselin S, Wagner T, Barnes A, and Cook GJR. "Uncertainty-aware Automatic TNM Staging Classification for [18F] Fluorodeoxyglucose PET-CT Reports for Lung Cancer Utilising Transformer-based Language Models and Multi-task Learning." BMC Medical Informatics and Decision Making 24, no. 1 (2024): 396. https://doi.org/10.1186/s12911-024-02814-7.

MLA (9th ed.) Citation

SH, Barlow, et al. "Uncertainty-aware Automatic TNM Staging Classification for [18F] Fluorodeoxyglucose PET-CT Reports for Lung Cancer Utilising Transformer-based Language Models and Multi-task Learning." BMC Medical Informatics and Decision Making, vol. 24, no. 1, 2024, p. 396, https://doi.org/10.1186/s12911-024-02814-7.