Deep Learning Models for Automatic Diagnosis and Efficacy Assessment of Scars: A Case Study.

Li Y, Zhang L, Bu W, Han C, Zhu W, He X, Sun K, He R, Zhao S

DOI: 10.1007/s43657-025-00251-8
Published: 2026 Jun
Container: Phenomics (Cham, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s43657-025-00251-8,
  title = {Deep Learning Models for Automatic Diagnosis and Efficacy Assessment of Scars: A Case Study.},
  author = {Li Y and Zhang L and Bu W and Han C and Zhu W and He X and Sun K and He R and Zhao S},
  year = {2026},
  journal = {Phenomics (Cham, Switzerland)},
  doi = {10.1007/s43657-025-00251-8},
  url = {https://doi.org/10.1007/s43657-025-00251-8}
}

RIS

TY  - JOUR
TI  - Deep Learning Models for Automatic Diagnosis and Efficacy Assessment of Scars: A Case Study.
AU  - Li Y
AU  - Zhang L
AU  - Bu W
AU  - Han C
AU  - Zhu W
AU  - He X
AU  - Sun K
AU  - He R
AU  - Zhao S
PY  - 2026
JO  - Phenomics (Cham, Switzerland)
DO  - 10.1007/s43657-025-00251-8
UR  - https://doi.org/10.1007/s43657-025-00251-8
ER  -

APA

Y, L., L, Z., W, B., C, H., W, Z., X, H., K, S., R, H., & S, Z. (2026). Deep Learning Models for Automatic Diagnosis and Efficacy Assessment of Scars: A Case Study.. Phenomics (Cham, Switzerland). https://doi.org/10.1007/s43657-025-00251-8

Source records

pubmed · retrieved 2026-09-25T20:24:41.313Z
europe-pmc · retrieved 2026-09-25T20:24:41.343Z