The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.

Li B, Xu Y, Wang Y, Li L, Zhang B

DOI: 10.1371/journal.pone.0300039
Published: 2024
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0300039,
  title = {The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.},
  author = {Li B and Xu Y and Wang Y and Li L and Zhang B},
  year = {2024},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0300039},
  url = {https://doi.org/10.1371/journal.pone.0300039}
}

RIS

TY  - JOUR
TI  - The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.
AU  - Li B
AU  - Xu Y
AU  - Wang Y
AU  - Li L
AU  - Zhang B
PY  - 2024
JO  - PloS one
DO  - 10.1371/journal.pone.0300039
UR  - https://doi.org/10.1371/journal.pone.0300039
ER  -

APA

B, L., Y, X., Y, W., L, L., & B, Z. (2024). The student-teacher framework guided by self-training and consistency regularization for semi-supervised medical image segmentation.. PloS one. https://doi.org/10.1371/journal.pone.0300039

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pubmed · retrieved 2026-09-26T17:31:58.747Z