Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography

MLA

Ilknur Tuncer, et al. “Swin-Textural: A Novel Textural Features-Based Image Classification Model for COVID-19 Detection on Chest Computed Tomography.” Informatics in Medicine Unlocked, vol. 36, no. 101158-, Jan. 2023. EBSCOhost, https://doi.org/10.1016/j.imu.2022.101158.

APA

Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru-San Tan, Chai Hong Yeong, & U. Rajendra Acharya. (2023). Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography. Informatics in Medicine Unlocked, 36(101158-). https://doi.org/10.1016/j.imu.2022.101158

Chicago

Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru-San Tan, Chai Hong Yeong, and U. Rajendra Acharya. 2023. “Swin-Textural: A Novel Textural Features-Based Image Classification Model for COVID-19 Detection on Chest Computed Tomography.” Informatics in Medicine Unlocked 36 (101158-). doi:10.1016/j.imu.2022.101158.