Pei, J.; Wang, Y.; Ge, M.; Li, J.; Li, Y.; Wang, W.; Zhou, X.
WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images. Bioengineering 2025, 12, 550.
https://doi.org/10.3390/bioengineering12050550
AMA Style
Pei J, Wang Y, Ge M, Li J, Li Y, Wang W, Zhou X.
WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images. Bioengineering. 2025; 12(5):550.
https://doi.org/10.3390/bioengineering12050550
Chicago/Turabian Style
Pei, Junpeng, Yousong Wang, Mingliang Ge, Jun Li, Yixing Li, Wei Wang, and Xiaohong Zhou.
2025. "WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images" Bioengineering 12, no. 5: 550.
https://doi.org/10.3390/bioengineering12050550
APA Style
Pei, J., Wang, Y., Ge, M., Li, J., Li, Y., Wang, W., & Zhou, X.
(2025). WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images. Bioengineering, 12(5), 550.
https://doi.org/10.3390/bioengineering12050550
