Khademi, S.; Heidarian, S.; Afshar, P.; Mohammadi, A.; Sidiqi, A.; Nguyen, E.T.; Ganeshan, B.; Oikonomou, A.
Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module. J. Imaging 2025, 11, 360.
https://doi.org/10.3390/jimaging11100360
AMA Style
Khademi S, Heidarian S, Afshar P, Mohammadi A, Sidiqi A, Nguyen ET, Ganeshan B, Oikonomou A.
Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module. Journal of Imaging. 2025; 11(10):360.
https://doi.org/10.3390/jimaging11100360
Chicago/Turabian Style
Khademi, Sadaf, Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Abdul Sidiqi, Elsie T. Nguyen, Balaji Ganeshan, and Anastasia Oikonomou.
2025. "Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module" Journal of Imaging 11, no. 10: 360.
https://doi.org/10.3390/jimaging11100360
APA Style
Khademi, S., Heidarian, S., Afshar, P., Mohammadi, A., Sidiqi, A., Nguyen, E. T., Ganeshan, B., & Oikonomou, A.
(2025). Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module. Journal of Imaging, 11(10), 360.
https://doi.org/10.3390/jimaging11100360