AA, P., AT, H., VC, O., JT, H., A, C., & L, E. (2022). Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: Determination of optimized dose thresholds in a virtual screening scenario. European radiology, 32(6), 4324. https://doi.org/10.1007/s00330-021-08511-7
Chicago Style (17th ed.) CitationAA, Peters, Huber AT, Obmann VC, Heverhagen JT, Christe A, and Ebner L. "Diagnostic Validation of a Deep Learning Nodule Detection Algorithm in Low-dose Chest CT: Determination of Optimized Dose Thresholds in a Virtual Screening Scenario." European Radiology 32, no. 6 (2022): 4324. https://doi.org/10.1007/s00330-021-08511-7.
MLA (9th ed.) CitationAA, Peters, et al. "Diagnostic Validation of a Deep Learning Nodule Detection Algorithm in Low-dose Chest CT: Determination of Optimized Dose Thresholds in a Virtual Screening Scenario." European Radiology, vol. 32, no. 6, 2022, p. 4324, https://doi.org/10.1007/s00330-021-08511-7.