Active learning improves annotation efficiency for colposcopic lesion segmentation under a fixed labeling budget

Lei Chen, Lexuan Dai, Rongyu Ma, Hongyu Wang, Zikai Wang, Yuanyuan Lin, Jiansen Song, Haitao Song, Yudong Wang

Open source

DOI
10.21203/rs.3.rs-10725817/v1
Published
2026-09-18
Container
Not recorded
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.21203/rs.3.rs-10725817/v1,
  title = {Active learning improves annotation efficiency for colposcopic lesion segmentation under a fixed labeling budget},
  author = {Lei Chen and Lexuan Dai and Rongyu Ma and Hongyu Wang and Zikai Wang and Yuanyuan Lin and Jiansen Song and Haitao Song and Yudong Wang},
  year = {2026},
  doi = {10.21203/rs.3.rs-10725817/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10725817/v1}
}

RIS

TY  - JOUR
TI  - Active learning improves annotation efficiency for colposcopic lesion segmentation under a fixed labeling budget
AU  - Lei Chen
AU  - Lexuan Dai
AU  - Rongyu Ma
AU  - Hongyu Wang
AU  - Zikai Wang
AU  - Yuanyuan Lin
AU  - Jiansen Song
AU  - Haitao Song
AU  - Yudong Wang
PY  - 2026
DO  - 10.21203/rs.3.rs-10725817/v1
UR  - https://doi.org/10.21203/rs.3.rs-10725817/v1
ER  - 

APA

Chen, L., Dai, L., Ma, R., Wang, H., Wang, Z., Lin, Y., Song, J., Song, H., & Wang, Y. (2026). Active learning improves annotation efficiency for colposcopic lesion segmentation under a fixed labeling budget. https://doi.org/10.21203/rs.3.rs-10725817/v1

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