APA (7th ed.) Citation

Xu, H., & Lv, R. (2025). ADCFormer: A hybrid model of Adaptive Depth-wise Convolution and Transformer for retinal macular edema segmentation in OCT images. Biomedical signal processing and control, 108, 107949. https://doi.org/10.1016/j.bspc.2025.107949

Chicago Style (17th ed.) Citation

Xu, Han, and Ruichan Lv. "ADCFormer: A Hybrid Model of Adaptive Depth-wise Convolution and Transformer for Retinal Macular Edema Segmentation in OCT Images." Biomedical Signal Processing and Control 108 (2025): 107949. https://doi.org/10.1016/j.bspc.2025.107949.

MLA (9th ed.) Citation

Xu, Han, and Ruichan Lv. "ADCFormer: A Hybrid Model of Adaptive Depth-wise Convolution and Transformer for Retinal Macular Edema Segmentation in OCT Images." Biomedical Signal Processing and Control, vol. 108, 2025, p. 107949, https://doi.org/10.1016/j.bspc.2025.107949.