SegFormer with Hausdorff distance-based spatial bias and conceptual split gate for automated segmentation of cervical precancerous lesions.
- DOI
- 10.1016/j.mex.2026.104040
- Published
- 2026 Dec
- Container
- MethodsX
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2026.104040,
title = {SegFormer with Hausdorff distance-based spatial bias and conceptual split gate for automated segmentation of cervical precancerous lesions.},
author = {Sofiani IR and Suyono H and Yudaningtyas E and Utaminingrum F},
year = {2026},
journal = {MethodsX},
doi = {10.1016/j.mex.2026.104040},
url = {https://doi.org/10.1016/j.mex.2026.104040}
}RIS
TY - JOUR TI - SegFormer with Hausdorff distance-based spatial bias and conceptual split gate for automated segmentation of cervical precancerous lesions. AU - Sofiani IR AU - Suyono H AU - Yudaningtyas E AU - Utaminingrum F PY - 2026 JO - MethodsX DO - 10.1016/j.mex.2026.104040 UR - https://doi.org/10.1016/j.mex.2026.104040 ER -
APA
IR, S., H, S., E, Y., & F, U. (2026). SegFormer with Hausdorff distance-based spatial bias and conceptual split gate for automated segmentation of cervical precancerous lesions.. MethodsX. https://doi.org/10.1016/j.mex.2026.104040
Source records
- pubmed · retrieved 2026-09-26T17:31:55.394Z