Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling.

Kim S, Yoon H, Lee J, Yoo S

DOI: 10.1016/j.artmed.2023.102679
Published: 2023 Nov
Container: Artificial intelligence in medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.artmed.2023.102679,
  title = {Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling.},
  author = {Kim S and Yoon H and Lee J and Yoo S},
  year = {2023},
  journal = {Artificial intelligence in medicine},
  doi = {10.1016/j.artmed.2023.102679},
  url = {https://doi.org/10.1016/j.artmed.2023.102679}
}

RIS

TY  - JOUR
TI  - Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling.
AU  - Kim S
AU  - Yoon H
AU  - Lee J
AU  - Yoo S
PY  - 2023
JO  - Artificial intelligence in medicine
DO  - 10.1016/j.artmed.2023.102679
UR  - https://doi.org/10.1016/j.artmed.2023.102679
ER  -

APA

S, K., H, Y., J, L., & S, Y. (2023). Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2023.102679

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pubmed · retrieved 2026-09-27T08:14:59.001Z