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Takahashi S, Takahashi M, Kinoshita M, Miyake M, Kawaguchi R, Shinojima N, Mukasa A, Saito K, Nagane M, Otani R, et al. Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities. Cancers. 2021; 13(6):1415. https://doi.org/10.3390/cancers13061415

Takahashi, Satoshi, Masamichi Takahashi, Manabu Kinoshita, Mototaka Miyake, Risa Kawaguchi, Naoki Shinojima, Akitake Mukasa, Kuniaki Saito, Motoo Nagane, Ryohei Otani, and et al. 2021. "Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities" Cancers 13, no. 6: 1415. https://doi.org/10.3390/cancers13061415

Takahashi, S., Takahashi, M., Kinoshita, M., Miyake, M., Kawaguchi, R., Shinojima, N., Mukasa, A., Saito, K., Nagane, M., Otani, R., Higuchi, F., Tanaka, S., Hata, N., Tamura, K., Tateishi, K., Nishikawa, R., Arita, H., Nonaka, M., Uda, T., ... Hamamoto, R. (2021). Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities. Cancers, 13(6), 1415. https://doi.org/10.3390/cancers13061415