Article Versions Notes

Uhlig J, Leha A, Delonge LM, Haack A-M, Shuch B, Kim HS, Bremmer F, Trojan L, Lotz J, Uhlig A. Radiomic Features and Machine Learning for the Discrimination of Renal Tumor Histological Subtypes: A Pragmatic Study Using Clinical-Routine Computed Tomography. Cancers. 2020; 12(10):3010. https://doi.org/10.3390/cancers12103010

Uhlig, Johannes, Andreas Leha, Laura M. Delonge, Anna-Maria Haack, Brian Shuch, Hyun S. Kim, Felix Bremmer, Lutz Trojan, Joachim Lotz, and Annemarie Uhlig. 2020. "Radiomic Features and Machine Learning for the Discrimination of Renal Tumor Histological Subtypes: A Pragmatic Study Using Clinical-Routine Computed Tomography" Cancers 12, no. 10: 3010. https://doi.org/10.3390/cancers12103010

Uhlig, J., Leha, A., Delonge, L. M., Haack, A. -M., Shuch, B., Kim, H. S., Bremmer, F., Trojan, L., Lotz, J., & Uhlig, A. (2020). Radiomic Features and Machine Learning for the Discrimination of Renal Tumor Histological Subtypes: A Pragmatic Study Using Clinical-Routine Computed Tomography. Cancers, 12(10), 3010. https://doi.org/10.3390/cancers12103010