Nikkuni, Y.; Nishiyama, H.; Takamura, M.; Kobayashi, T.; Soga, M.; Ike, M.; Katsura, K.; Hayashi, T.
Evaluation of the Ability to Predict Subsequent Metastasis of Early Oral Squamous Cell Carcinoma Using PET Radiomics Machine Learning Models. Cancers 2025, 17, 3573.
https://doi.org/10.3390/cancers17213573
AMA Style
Nikkuni Y, Nishiyama H, Takamura M, Kobayashi T, Soga M, Ike M, Katsura K, Hayashi T.
Evaluation of the Ability to Predict Subsequent Metastasis of Early Oral Squamous Cell Carcinoma Using PET Radiomics Machine Learning Models. Cancers. 2025; 17(21):3573.
https://doi.org/10.3390/cancers17213573
Chicago/Turabian Style
Nikkuni, Yutaka, Hideyoshi Nishiyama, Masaki Takamura, Taichi Kobayashi, Marie Soga, Makiko Ike, Kouji Katsura, and Takafumi Hayashi.
2025. "Evaluation of the Ability to Predict Subsequent Metastasis of Early Oral Squamous Cell Carcinoma Using PET Radiomics Machine Learning Models" Cancers 17, no. 21: 3573.
https://doi.org/10.3390/cancers17213573
APA Style
Nikkuni, Y., Nishiyama, H., Takamura, M., Kobayashi, T., Soga, M., Ike, M., Katsura, K., & Hayashi, T.
(2025). Evaluation of the Ability to Predict Subsequent Metastasis of Early Oral Squamous Cell Carcinoma Using PET Radiomics Machine Learning Models. Cancers, 17(21), 3573.
https://doi.org/10.3390/cancers17213573
