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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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[A multi-scale feature capturing and spatial position attention model for colorectal polyp image segmentation].

Wen Guo1, Xiangyang Chen1, Jian Wu1

  • 1School of Computer Science & Engineering Artificial Intelligence, Wuhan Institute of Technology, Wuhan 430205, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|October 28, 2025
PubMed
Summary

This study introduces PCFNet, a novel AI model for accurate colorectal polyp segmentation. PCFNet enhances early cancer detection by improving polyp identification in medical images.

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Oncology
Keywords:
Attention mechanismColorectal polypDeep learningMedical image segmentationMulti-scale feature fusion

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