Minami, S.; Saso, K.; Miyoshi, N.; Fujino, S.; Kato, S.; Sekido, Y.; Hata, T.; Ogino, T.; Takahashi, H.; Uemura, M.;
et al. Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning. Cancers 2022, 14, 5361.
https://doi.org/10.3390/cancers14215361
AMA Style
Minami S, Saso K, Miyoshi N, Fujino S, Kato S, Sekido Y, Hata T, Ogino T, Takahashi H, Uemura M,
et al. Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning. Cancers. 2022; 14(21):5361.
https://doi.org/10.3390/cancers14215361
Chicago/Turabian Style
Minami, Soichiro, Kazuhiro Saso, Norikatsu Miyoshi, Shiki Fujino, Shinya Kato, Yuki Sekido, Tsuyoshi Hata, Takayuki Ogino, Hidekazu Takahashi, Mamoru Uemura,
and et al. 2022. "Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning" Cancers 14, no. 21: 5361.
https://doi.org/10.3390/cancers14215361
APA Style
Minami, S., Saso, K., Miyoshi, N., Fujino, S., Kato, S., Sekido, Y., Hata, T., Ogino, T., Takahashi, H., Uemura, M., Yamamoto, H., Doki, Y., & Eguchi, H.
(2022). Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning. Cancers, 14(21), 5361.
https://doi.org/10.3390/cancers14215361