SOTS: Leveraging Self-supervised Pretraining for Label-Efficient Ovarian Tumor Segmentation in Ultrasound Images

Hoang-Son Bui, Thanh-Phuc Dao, Thi-Lan Le

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DOI: 10.1007/s10278-026-02138-0
Published: 2026-09-15
Container: Journal of Imaging Informatics in Medicine
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-026-02138-0,
  title = {SOTS: Leveraging Self-supervised Pretraining for Label-Efficient Ovarian Tumor Segmentation in Ultrasound Images},
  author = {Hoang-Son Bui and Thanh-Phuc Dao and Thi-Lan Le},
  year = {2026},
  journal = {Journal of Imaging Informatics in Medicine},
  doi = {10.1007/s10278-026-02138-0},
  url = {https://doi.org/10.1007/s10278-026-02138-0}
}

RIS

TY  - JOUR
TI  - SOTS: Leveraging Self-supervised Pretraining for Label-Efficient Ovarian Tumor Segmentation in Ultrasound Images
AU  - Hoang-Son Bui
AU  - Thanh-Phuc Dao
AU  - Thi-Lan Le
PY  - 2026
JO  - Journal of Imaging Informatics in Medicine
DO  - 10.1007/s10278-026-02138-0
UR  - https://doi.org/10.1007/s10278-026-02138-0
ER  -

APA

Bui, H., Dao, T., & Le, T. (2026). SOTS: Leveraging Self-supervised Pretraining for Label-Efficient Ovarian Tumor Segmentation in Ultrasound Images. Journal of Imaging Informatics in Medicine. https://doi.org/10.1007/s10278-026-02138-0

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crossref · retrieved 2026-11-10T19:14:16.434Z