Bette, S.; Canalini, L.; Feitelson, L.-M.; Woźnicki, P.; Risch, F.; Huber, A.; Decker, J.A.; Tehlan, K.; Becker, J.; Wollny, C.;
et al. Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography. Diagnostics 2024, 14, 718.
https://doi.org/10.3390/diagnostics14070718
AMA Style
Bette S, Canalini L, Feitelson L-M, Woźnicki P, Risch F, Huber A, Decker JA, Tehlan K, Becker J, Wollny C,
et al. Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography. Diagnostics. 2024; 14(7):718.
https://doi.org/10.3390/diagnostics14070718
Chicago/Turabian Style
Bette, Stefanie, Luca Canalini, Laura-Marie Feitelson, Piotr Woźnicki, Franka Risch, Adrian Huber, Josua A. Decker, Kartikay Tehlan, Judith Becker, Claudia Wollny,
and et al. 2024. "Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography" Diagnostics 14, no. 7: 718.
https://doi.org/10.3390/diagnostics14070718
APA Style
Bette, S., Canalini, L., Feitelson, L.-M., Woźnicki, P., Risch, F., Huber, A., Decker, J. A., Tehlan, K., Becker, J., Wollny, C., Scheurig-Münkler, C., Wendler, T., Schwarz, F., & Kroencke, T.
(2024). Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography. Diagnostics, 14(7), 718.
https://doi.org/10.3390/diagnostics14070718
