Segment Anything Model for medical image segmentation: A review

Hanguang Xiao, Shuai Liu, Xingyue Liu, Lingling Qian, Jiaxin Jiang

Open source

DOI: 10.1016/j.compmedimag.2026.102789
Published: 2026-07
Container: Computerized Medical Imaging and Graphics
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.compmedimag.2026.102789,
  title = {Segment Anything Model for medical image segmentation: A review},
  author = {Hanguang Xiao and Shuai Liu and Xingyue Liu and Lingling Qian and Jiaxin Jiang},
  year = {2026},
  journal = {Computerized Medical Imaging and Graphics},
  doi = {10.1016/j.compmedimag.2026.102789},
  url = {https://doi.org/10.1016/j.compmedimag.2026.102789}
}

RIS

TY  - JOUR
TI  - Segment Anything Model for medical image segmentation: A review
AU  - Hanguang Xiao
AU  - Shuai Liu
AU  - Xingyue Liu
AU  - Lingling Qian
AU  - Jiaxin Jiang
PY  - 2026
JO  - Computerized Medical Imaging and Graphics
DO  - 10.1016/j.compmedimag.2026.102789
UR  - https://doi.org/10.1016/j.compmedimag.2026.102789
ER  -

APA

Xiao, H., Liu, S., Liu, X., Qian, L., & Jiang, J. (2026). Segment Anything Model for medical image segmentation: A review. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2026.102789

Source records

crossref · retrieved 2026-09-25T06:09:34.702Z