AFFUNet: adaptive feature fusion Transformer U-Net with joint loss function for medical image segmentation

Mingming Pang, Chu Yang, Yanlong Luo

Open source

DOI: 10.21037/qims-2026-1-0234
Published: 2026-09
Container: Quantitative Imaging in Medicine and Surgery
Publisher: AME Publishing Company
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21037/qims-2026-1-0234,
  title = {AFFUNet: adaptive feature fusion Transformer U-Net with joint loss function for medical image segmentation},
  author = {Mingming Pang and Chu Yang and Yanlong Luo},
  year = {2026},
  journal = {Quantitative Imaging in Medicine and Surgery},
  doi = {10.21037/qims-2026-1-0234},
  url = {https://doi.org/10.21037/qims-2026-1-0234}
}

RIS

TY  - JOUR
TI  - AFFUNet: adaptive feature fusion Transformer U-Net with joint loss function for medical image segmentation
AU  - Mingming Pang
AU  - Chu Yang
AU  - Yanlong Luo
PY  - 2026
JO  - Quantitative Imaging in Medicine and Surgery
DO  - 10.21037/qims-2026-1-0234
UR  - https://doi.org/10.21037/qims-2026-1-0234
ER  -

APA

Pang, M., Yang, C., & Luo, Y. (2026). AFFUNet: adaptive feature fusion Transformer U-Net with joint loss function for medical image segmentation. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-2026-1-0234

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crossref · retrieved 2026-09-26T01:26:49.763Z