APA (7th ed.) Citation

Gomi, T., Kijima, Y., Kobayashi, T., & Koibuchi, Y. (2022). Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose during Digital Breast Tomosynthesis. MDPI AG.

Chicago Style (17th ed.) Citation

Gomi, Tsutomu, Yukie Kijima, Takayuki Kobayashi, and Yukio Koibuchi. Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose During Digital Breast Tomosynthesis. MDPI AG, 2022.

MLA (9th ed.) Citation

Gomi, Tsutomu, et al. Evaluation of a Generative Adversarial Network to Improve Image Quality and Reduce Radiation-Dose During Digital Breast Tomosynthesis. MDPI AG, 2022.

Warning: These citations may not always be 100% accurate.