Cita APA (7a ed.)
Park, J. E., Ham, S., Kim, H. S., Park, S. Y., Yun, J., Lee, H., . . . Kim, N. (2021). Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma. European Radiology, 31(5), 3127-3138.
Cita Chicago Style (17a ed.)
Park, Ji Eun, Sungwon Ham, Ho Sung Kim, Seo Young Park, Jihye Yun, Hyunna Lee, Seung Hong Choi, y Namkug Kim. "Diffusion and Perfusion MRI Radiomics Obtained from Deep Learning Segmentation Provides Reproducible and Comparable Diagnostic Model to Human in Post-treatment Glioblastoma." European Radiology 31, no. 5 (2021): 3127-3138.
Cita MLA (9a ed.)
Park, Ji Eun, et al. "Diffusion and Perfusion MRI Radiomics Obtained from Deep Learning Segmentation Provides Reproducible and Comparable Diagnostic Model to Human in Post-treatment Glioblastoma." European Radiology, vol. 31, no. 5, 2021, pp. 3127-3138.
Precaución: Estas citas no son 100% exactas.