SAM2-RFANet: a multi-receptive-field aware attention network for enhanced polyp segmentation in colonoscopy imagery

Guangcheng Li, Ge Jiao, Yang Liu, Zhenpeng Zhong

Open source

DOI: 10.1088/2057-1976/ae71d7
Published: 2026-06-01
Container: Biomedical Physics & Engineering Express
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2057-1976/ae71d7,
  title = {SAM2-RFANet: a multi-receptive-field aware attention network for enhanced polyp segmentation in colonoscopy imagery},
  author = {Guangcheng Li and Ge Jiao and Yang Liu and Zhenpeng Zhong},
  year = {2026},
  journal = {Biomedical Physics \&amp; Engineering Express},
  doi = {10.1088/2057-1976/ae71d7},
  url = {https://doi.org/10.1088/2057-1976/ae71d7}
}

RIS

TY  - JOUR
TI  - SAM2-RFANet: a multi-receptive-field aware attention network for enhanced polyp segmentation in colonoscopy imagery
AU  - Guangcheng Li
AU  - Ge Jiao
AU  - Yang Liu
AU  - Zhenpeng Zhong
PY  - 2026
JO  - Biomedical Physics &amp; Engineering Express
DO  - 10.1088/2057-1976/ae71d7
UR  - https://doi.org/10.1088/2057-1976/ae71d7
ER  -

APA

Li, G., Jiao, G., Liu, Y., & Zhong, Z. (2026). SAM2-RFANet: a multi-receptive-field aware attention network for enhanced polyp segmentation in colonoscopy imagery. Biomedical Physics & Engineering Express. https://doi.org/10.1088/2057-1976/ae71d7

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crossref · retrieved 2026-09-25T08:52:24.008Z