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Liu X, Maleki F, Muthukrishnan N, et al. Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models. Cancers (Basel). 2021;13(15)doi: 10.3390/cancers13153723.
Liu, X., Maleki, F., Muthukrishnan, N., Ovens, K., Huang, S. H., Pérez-Lara, A., Romero-Sanchez, G., Bhatnagar, S. R., Chatterjee, A., Pusztaszeri, M. P., Spatz, A., Batist, G., Payabvash, S., Haider, S. P., Mahajan, A., Reinhold, C., Forghani, B., O'Sullivan, B., Yu, E., & Forghani, R. (2021). Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models. Cancers, 13(15), . https://doi.org/10.3390/cancers13153723
Liu, Xiaoyang, et al. "Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models." Cancers vol. 13,15 (2021). doi: https://doi.org/10.3390/cancers13153723
Liu X, Maleki F, Muthukrishnan N, Ovens K, Huang SH, Pérez-Lara A, Romero-Sanchez G, Bhatnagar SR, Chatterjee A, Pusztaszeri MP, Spatz A, Batist G, Payabvash S, Haider SP, Mahajan A, Reinhold C, Forghani B, O'Sullivan B, Yu E, Forghani R. Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models. Cancers (Basel). 2021 Jul 24;13(15). doi: 10.3390/cancers13153723. PMID: 34359623; PMCID: PMC8345201.
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