A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring.

Park JK, Baek S, Heo CY, Jeong JH, Myung Y

DOI: 10.1055/a-2190-5781
Published: 2024 Jan
Container: Archives of plastic surgery
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1055/a-2190-5781,
  title = {A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring.},
  author = {Park JK and Baek S and Heo CY and Jeong JH and Myung Y},
  year = {2024},
  journal = {Archives of plastic surgery},
  doi = {10.1055/a-2190-5781},
  url = {https://doi.org/10.1055/a-2190-5781}
}

RIS

TY  - JOUR
TI  - A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring.
AU  - Park JK
AU  - Baek S
AU  - Heo CY
AU  - Jeong JH
AU  - Myung Y
PY  - 2024
JO  - Archives of plastic surgery
DO  - 10.1055/a-2190-5781
UR  - https://doi.org/10.1055/a-2190-5781
ER  -

APA

JK, P., S, B., CY, H., JH, J., & Y, M. (2024). A Novel, Deep Learning-Based, Automatic Photometric Analysis Software for Breast Aesthetic Scoring.. Archives of plastic surgery. https://doi.org/10.1055/a-2190-5781

Source records

pubmed · retrieved 2026-09-26T10:52:38.162Z