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Urago Y, Okamoto H, Kaneda T, et al. Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models. Radiat Oncol. 2021;16(1):175doi: 10.1186/s13014-021-01896-1.
Urago, Y., Okamoto, H., Kaneda, T., Murakami, N., Kashihara, T., Takemori, M., Nakayama, H., Iijima, K., Chiba, T., Kuwahara, J., Katsuta, S., Nakamura, S., Chang, W., Saitoh, H., & Igaki, H. (2021). Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models. Radiation oncology (London, England), 16(1), 175. https://doi.org/10.1186/s13014-021-01896-1
Urago, Yuka, et al. "Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models." Radiation oncology (London, England) vol. 16,1 (2021): 175. doi: https://doi.org/10.1186/s13014-021-01896-1
Urago Y, Okamoto H, Kaneda T, Murakami N, Kashihara T, Takemori M, Nakayama H, Iijima K, Chiba T, Kuwahara J, Katsuta S, Nakamura S, Chang W, Saitoh H, Igaki H. Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models. Radiat Oncol. 2021 Sep 09;16(1):175. doi: 10.1186/s13014-021-01896-1. PMID: 34503533; PMCID: PMC8427857.
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