Klontzas, M.E.; Koltsakis, E.; Kalarakis, G.; Trpkov, K.; Papathomas, T.; Karantanas, A.H.; Tzortzakakis, A.
Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors. Cancers 2023, 15, 3553.
https://doi.org/10.3390/cancers15143553
AMA Style
Klontzas ME, Koltsakis E, Kalarakis G, Trpkov K, Papathomas T, Karantanas AH, Tzortzakakis A.
Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors. Cancers. 2023; 15(14):3553.
https://doi.org/10.3390/cancers15143553
Chicago/Turabian Style
Klontzas, Michail E., Emmanouil Koltsakis, Georgios Kalarakis, Kiril Trpkov, Thomas Papathomas, Apostolos H. Karantanas, and Antonios Tzortzakakis.
2023. "Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors" Cancers 15, no. 14: 3553.
https://doi.org/10.3390/cancers15143553
APA Style
Klontzas, M. E., Koltsakis, E., Kalarakis, G., Trpkov, K., Papathomas, T., Karantanas, A. H., & Tzortzakakis, A.
(2023). Machine Learning Integrating 99mTc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors. Cancers, 15(14), 3553.
https://doi.org/10.3390/cancers15143553
