M, H., NMC, v. A., FC, M., JE, v. A., JCJ, v. O., F, C., . . . CW, H. (2024). Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want? Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 201, 110545. https://doi.org/10.1016/j.radonc.2024.110545
Chicago Style (17th ed.) CitationM, Huet-Dastarac, et al. "Quantifying and Visualising Uncertainty in Deep Learning-based Segmentation for Radiation Therapy Treatment Planning: What Do Radiation Oncologists and Therapists Want?" Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology 201 (2024): 110545. https://doi.org/10.1016/j.radonc.2024.110545.
MLA (9th ed.) CitationM, Huet-Dastarac, et al. "Quantifying and Visualising Uncertainty in Deep Learning-based Segmentation for Radiation Therapy Treatment Planning: What Do Radiation Oncologists and Therapists Want?" Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, vol. 201, 2024, p. 110545, https://doi.org/10.1016/j.radonc.2024.110545.
