Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT

MLA

Jonathan Lim, et al. “Training and Validation of a Deep Learning U-Net Architecture General Model for Automated Segmentation of Inner Ear from CT.” European Radiology Experimental, vol. 8, no. 1, Sept. 2024, pp. 1–13. EBSCOhost, https://doi.org/10.1186/s41747-024-00508-3.

APA

Jonathan Lim, Aurore Abily, Douraïed Ben Salem, Loïc Gaillandre, Arnaud Attye, & Julien Ognard. (2024). Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT. European Radiology Experimental, 8(1), 1–13. https://doi.org/10.1186/s41747-024-00508-3

Chicago

Jonathan Lim, Aurore Abily, Douraïed Ben Salem, Loïc Gaillandre, Arnaud Attye, and Julien Ognard. 2024. “Training and Validation of a Deep Learning U-Net Architecture General Model for Automated Segmentation of Inner Ear from CT.” European Radiology Experimental 8 (1): 1–13. doi:10.1186/s41747-024-00508-3.