Article Versions Notes

Ervik Ø, Rødde M, Hofstad EF, Tveten I, Langø T, Leira HO, Amundsen T, Sorger H. A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study. Journal of Imaging. 2025; 11(1):10. https://doi.org/10.3390/jimaging11010010

Ervik, Øyvind, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, and Hanne Sorger. 2025. "A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study" Journal of Imaging 11, no. 1: 10. https://doi.org/10.3390/jimaging11010010

Ervik, Ø., Rødde, M., Hofstad, E. F., Tveten, I., Langø, T., Leira, H. O., Amundsen, T., & Sorger, H. (2025). A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study. Journal of Imaging, 11(1), 10. https://doi.org/10.3390/jimaging11010010