Deng, R., Hu, S., Huang, P., Sun, Y., Jiang, L., Wei, P., . . . Tian, S. (2026). TexSem-Net: Texture Augmentation and Regional Semantics Fusion Dense-Prediction Network for Cervical Squamous Cell Carcinoma Histopathological Images. IEEE Transactions on Circuits and Systems for Video Technology, Circuits and Systems for Video Technology, IEEE Transactions on, IEEE Trans. Circuits Syst. Video Technol., 36(9), 13209-13230. https://doi.org/10.1109/TCSVT.2026.3690517
Παραπομπή σε μορφή Chicago (17η εκδ.)Deng, R., S. Hu, P. Huang, Y. Sun, L. Jiang, P. Wei, W. Ding, και S. Tian. "TexSem-Net: Texture Augmentation and Regional Semantics Fusion Dense-Prediction Network for Cervical Squamous Cell Carcinoma Histopathological Images." IEEE Transactions on Circuits and Systems for Video Technology, Circuits and Systems for Video Technology, IEEE Transactions on, IEEE Trans. Circuits Syst. Video Technol. 36, no. 9 (2026): 13209-13230. https://doi.org/10.1109/TCSVT.2026.3690517.
Παραπομπή σε μορφή MLA (9th εκδ.)Deng, R., et al. "TexSem-Net: Texture Augmentation and Regional Semantics Fusion Dense-Prediction Network for Cervical Squamous Cell Carcinoma Histopathological Images." IEEE Transactions on Circuits and Systems for Video Technology, Circuits and Systems for Video Technology, IEEE Transactions on, IEEE Trans. Circuits Syst. Video Technol., vol. 36, no. 9, 2026, pp. 13209-13230, https://doi.org/10.1109/TCSVT.2026.3690517.