Gresser, E. K., Schachtner, B., Stüber, A. T., Solyanik, O., Schreier, A., Huber, T., . . . Nörenberg, D. (2022). Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets. Quantitative imaging in medicine and surgery, 12(11), . https://doi.org/10.21037/qims-22-265
Chicago-Zitierstil (17. Ausg.)Gresser, Eva Kristina, et al. "Performance Variability of Radiomics Machine Learning Models for the Detection of Clinically Significant Prostate Cancer in Heterogeneous MRI Datasets." Quantitative Imaging in Medicine and Surgery 12, no. 11 (2022). https://doi.org/10.21037/qims-22-265.
MLA-Zitierstil (9. Ausg.)Gresser, Eva Kristina, et al. "Performance Variability of Radiomics Machine Learning Models for the Detection of Clinically Significant Prostate Cancer in Heterogeneous MRI Datasets." Quantitative Imaging in Medicine and Surgery, vol. 12, no. 11, 2022, https://doi.org/10.21037/qims-22-265.