MAP-Net: Multi-region Anatomical Prototype Network for Interpretable Scoliosis Assessment from Back Surface Photographs.

Ma L, Shi D, Hu Q, Liu Q, Li J, Zhang W, Ding X

Open source

DOI
10.1109/jbhi.2026.3751729
Published
2026 Nov 9
Container
IEEE journal of biomedical and health informatics
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/jbhi.2026.3751729,
  title = {MAP-Net: Multi-region Anatomical Prototype Network for Interpretable Scoliosis Assessment from Back Surface Photographs.},
  author = {Ma L and Shi D and Hu Q and Liu Q and Li J and Zhang W and Ding X},
  year = {2026},
  journal = {IEEE journal of biomedical and health informatics},
  doi = {10.1109/jbhi.2026.3751729},
  url = {https://doi.org/10.1109/jbhi.2026.3751729}
}

RIS

TY  - JOUR
TI  - MAP-Net: Multi-region Anatomical Prototype Network for Interpretable Scoliosis Assessment from Back Surface Photographs.
AU  - Ma L
AU  - Shi D
AU  - Hu Q
AU  - Liu Q
AU  - Li J
AU  - Zhang W
AU  - Ding X
PY  - 2026
JO  - IEEE journal of biomedical and health informatics
DO  - 10.1109/jbhi.2026.3751729
UR  - https://doi.org/10.1109/jbhi.2026.3751729
ER  - 

APA

L, M., D, S., Q, H., Q, L., J, L., W, Z., & X, D. (2026). MAP-Net: Multi-region Anatomical Prototype Network for Interpretable Scoliosis Assessment from Back Surface Photographs.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3751729

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