Takahashi, S.; Ichikawa, S.; Watanabe, K.; Ueda, H.; Arima, H.; Yamato, Y.; Takeuchi, T.; Hosogane, N.; Okamoto, M.; Umezu, M.;
et al. Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic Scoliosis. J. Clin. Med. 2025, 14, 7216.
https://doi.org/10.3390/jcm14207216
AMA Style
Takahashi S, Ichikawa S, Watanabe K, Ueda H, Arima H, Yamato Y, Takeuchi T, Hosogane N, Okamoto M, Umezu M,
et al. Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic Scoliosis. Journal of Clinical Medicine. 2025; 14(20):7216.
https://doi.org/10.3390/jcm14207216
Chicago/Turabian Style
Takahashi, Shinji, Shota Ichikawa, Kei Watanabe, Haruki Ueda, Hideyuki Arima, Yu Yamato, Takumi Takeuchi, Naobumi Hosogane, Masashi Okamoto, Manami Umezu,
and et al. 2025. "Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic Scoliosis" Journal of Clinical Medicine 14, no. 20: 7216.
https://doi.org/10.3390/jcm14207216
APA Style
Takahashi, S., Ichikawa, S., Watanabe, K., Ueda, H., Arima, H., Yamato, Y., Takeuchi, T., Hosogane, N., Okamoto, M., Umezu, M., Oba, H., Kondo, Y., & Seki, S.
(2025). Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic Scoliosis. Journal of Clinical Medicine, 14(20), 7216.
https://doi.org/10.3390/jcm14207216