APA (7th ed.) Citation

Shyni, H. M., & E, C. (2024). PulmonU-Net: A semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU. Automatika: Journal for Control, Measurement, Electronics, Computing & Communications, 65(2), 641. https://doi.org/10.1080/00051144.2024.2314918

Chicago Style (17th ed.) Citation

Shyni, H. Mary, and Chitra E. "PulmonU-Net: A Semantic Lung Disease Segmentation Model Leveraging the Benefit of Multiscale Feature Concatenation and Leaky ReLU." Automatika: Journal for Control, Measurement, Electronics, Computing & Communications 65, no. 2 (2024): 641. https://doi.org/10.1080/00051144.2024.2314918.

MLA (9th ed.) Citation

Shyni, H. Mary, and Chitra E. "PulmonU-Net: A Semantic Lung Disease Segmentation Model Leveraging the Benefit of Multiscale Feature Concatenation and Leaky ReLU." Automatika: Journal for Control, Measurement, Electronics, Computing & Communications, vol. 65, no. 2, 2024, p. 641, https://doi.org/10.1080/00051144.2024.2314918.