APA (7th ed.) Citation

Trinh, M., Tran, T., Nham, D., Lo, M., & Pham, V. (2025). GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation. Journal of Imaging Informatics in Medicine, 38(5), 3198. https://doi.org/10.1007/s10278-025-01387-9

Chicago Style (17th ed.) Citation

Trinh, Minh-Nhat, Thi-Thao Tran, Do-Hai-Ninh Nham, Men-Tzung Lo, and Van-Truong Pham. "GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation." Journal of Imaging Informatics in Medicine 38, no. 5 (2025): 3198. https://doi.org/10.1007/s10278-025-01387-9.

MLA (9th ed.) Citation

Trinh, Minh-Nhat, et al. "GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation." Journal of Imaging Informatics in Medicine, vol. 38, no. 5, 2025, p. 3198, https://doi.org/10.1007/s10278-025-01387-9.