FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.
- DOI
- 10.1109/tmi.2026.3666364
- Published
- 2026 Jun
- Container
- IEEE transactions on medical imaging
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tmi.2026.3666364,
title = {FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.},
author = {Bai J and Tang Y and Zhou Z and Islam M and Tabassum M and Almar-Munoz E and Liu H and Meng H and Lv N and Deng B and Chen Y and Peng Z and Xiao Y and Xiao L and Tran NK and Phan-Le DP and Nguyen HD and Liu X and Hu J and Huang M and Liang J and Feng C and Zhang X and Tong L and Du B and Pham HH and Nguyen TH and Xu M and Jiang J and Zhang J and Liu Y and Hasan MK and Gan J and Liang Z and Cai W and Huang Y and Luo G and Yaqub M and Lekadir K},
year = {2026},
journal = {IEEE transactions on medical imaging},
doi = {10.1109/tmi.2026.3666364},
url = {https://doi.org/10.1109/tmi.2026.3666364}
}RIS
TY - JOUR TI - FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation. AU - Bai J AU - Tang Y AU - Zhou Z AU - Islam M AU - Tabassum M AU - Almar-Munoz E AU - Liu H AU - Meng H AU - Lv N AU - Deng B AU - Chen Y AU - Peng Z AU - Xiao Y AU - Xiao L AU - Tran NK AU - Phan-Le DP AU - Nguyen HD AU - Liu X AU - Hu J AU - Huang M AU - Liang J AU - Feng C AU - Zhang X AU - Tong L AU - Du B AU - Pham HH AU - Nguyen TH AU - Xu M AU - Jiang J AU - Zhang J AU - Liu Y AU - Hasan MK AU - Gan J AU - Liang Z AU - Cai W AU - Huang Y AU - Luo G AU - Yaqub M AU - Lekadir K PY - 2026 JO - IEEE transactions on medical imaging DO - 10.1109/tmi.2026.3666364 UR - https://doi.org/10.1109/tmi.2026.3666364 ER -
APA
J, B., Y, T., Z, Z., M, I., M, T., E, A., H, L., H, M., N, L., B, D., Y, C., Z, P., Y, X., L, X., NK, T., DP, P., HD, N., X, L., J, H., M, H., J, L., C, F., X, Z., L, T., B, D., HH, P., TH, N., M, X., J, J., J, Z., Y, L., MK, H., J, G., Z, L., W, C., Y, H., G, L., M, Y., & K, L. (2026). FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.. IEEE transactions on medical imaging. https://doi.org/10.1109/tmi.2026.3666364
Source records
- pubmed · retrieved 2026-09-26T00:40:40.325Z
- europe-pmc · retrieved 2026-09-26T00:40:40.330Z