APA (7th ed.) Citation

Y, S., B, D., & J, L. (2026). Transvaginal ultrasound-based radiomics and integrated clinical indicators via multimodal deep learning for prediction of endometrial polyp recurrence after hysteroscopic surgery. Biomedizinische Technik. Biomedical engineering. https://doi.org/10.1515/bmt-2026-0223

Chicago Style (17th ed.) Citation

Y, Shen, Ding B, and Li J. "Transvaginal Ultrasound-based Radiomics and Integrated Clinical Indicators via Multimodal Deep Learning for Prediction of Endometrial Polyp Recurrence After Hysteroscopic Surgery." Biomedizinische Technik. Biomedical Engineering 2026. https://doi.org/10.1515/bmt-2026-0223.

MLA (9th ed.) Citation

Y, Shen, et al. "Transvaginal Ultrasound-based Radiomics and Integrated Clinical Indicators via Multimodal Deep Learning for Prediction of Endometrial Polyp Recurrence After Hysteroscopic Surgery." Biomedizinische Technik. Biomedical Engineering, 2026, https://doi.org/10.1515/bmt-2026-0223.