APA (7th ed.) Citation

W, L., Z, N., X, Z., Q, C., L, N., & P, X. (2026). Decomposition based curriculum-style self-training for source-free universal domain adaptation in computational pathology. Neural networks : the official journal of the International Neural Network Society, 200, 108805. https://doi.org/10.1016/j.neunet.2026.108805

Chicago Style (17th ed.) Citation

W, Liu, Ni Z, Zhu X, Chen Q, Ni L, and Xia P. "Decomposition Based Curriculum-style Self-training for Source-free Universal Domain Adaptation in Computational Pathology." Neural Networks : The Official Journal of the International Neural Network Society 200 (2026): 108805. https://doi.org/10.1016/j.neunet.2026.108805.

MLA (9th ed.) Citation

W, Liu, et al. "Decomposition Based Curriculum-style Self-training for Source-free Universal Domain Adaptation in Computational Pathology." Neural Networks : The Official Journal of the International Neural Network Society, vol. 200, 2026, p. 108805, https://doi.org/10.1016/j.neunet.2026.108805.