Morani, K. Et Al. 2024. Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier. Science and Information Conference, SAI 2024 , (London, England), 450-465.

Morani, K., Ayana, E., Kollias, D., & Unay, D., (2024). Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier . Science and Information Conference, SAI 2024 (pp.450-465). London, England

Morani, Kenan Et Al. "Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier," Science and Information Conference, SAI 2024, London, England, 2024

Morani, Kenan Et Al. "Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier." Science and Information Conference, SAI 2024 , London, England, pp.450-465, 2024

Morani, K. Et Al. (2024) . "Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier." Science and Information Conference, SAI 2024 , London, England, pp.450-465.

@conferencepaper{conferencepaper, author={Kenan Morani Et Al. }, title={Detecting COVID-19 in Computed Tomography Images: A Novel Approach Utilizing Segmentation with UNet Architecture, Lung Extraction, and CNN Classifier}, congress name={Science and Information Conference, SAI 2024}, city={London}, country={England}, year={2024}, pages={450-465} }