Deep Learning-Based Scapular Morphology Assessment Pipeline for Glenoid Segmentation and Landmark Localization.

Liu K, Zhang Y, Yang R, Deng L, Wang L, Chen B

DOI: 10.1007/s10278-026-02385-1
Published: 2026 Oct 9
Container: Journal of imaging informatics in medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-026-02385-1,
  title = {Deep Learning-Based Scapular Morphology Assessment Pipeline for Glenoid Segmentation and Landmark Localization.},
  author = {Liu K and Zhang Y and Yang R and Deng L and Wang L and Chen B},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-026-02385-1},
  url = {https://doi.org/10.1007/s10278-026-02385-1}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Scapular Morphology Assessment Pipeline for Glenoid Segmentation and Landmark Localization.
AU  - Liu K
AU  - Zhang Y
AU  - Yang R
AU  - Deng L
AU  - Wang L
AU  - Chen B
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-026-02385-1
UR  - https://doi.org/10.1007/s10278-026-02385-1
ER  -

APA

K, L., Y, Z., R, Y., L, D., L, W., & B, C. (2026). Deep Learning-Based Scapular Morphology Assessment Pipeline for Glenoid Segmentation and Landmark Localization.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02385-1

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pubmed · retrieved 2026-11-10T12:57:36.553Z