• Acta Photonica Sinica
  • Vol. 51, Issue 4, 0410006 (2022)
Tao ZHOU1、2, Yali DONG1、*, Shan LIU1, Huiling LU3, Zongjun MA4, Senbao HOU1, and Shi QIU5
Author Affiliations
  • 1School of Computer Science and Technology,North Minzu University,Yinchuan 750021,China
  • 2The Key Laboratory of Images & Graphics Intelligent Processing of State Ethnic Affairs Commission,North Minzu University,Yinchuan 750021,China
  • 3School of Science,Ningxia Medical University,Yinchuan 750004,China
  • 4Department of Orthopedics,Ningxia Medical University General Hospital,Yinchuan 750004,China
  • 5Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China
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    DOI: 10.3788/gzxb20225104.0410006 Cite this Article
    Tao ZHOU, Yali DONG, Shan LIU, Huiling LU, Zongjun MA, Senbao HOU, Shi QIU. Cross-modality Multi-encoder Hybrid Attention U-Net for Lung Tumors Images Segmentation[J]. Acta Photonica Sinica, 2022, 51(4): 0410006 Copy Citation Text show less
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    Tao ZHOU, Yali DONG, Shan LIU, Huiling LU, Zongjun MA, Senbao HOU, Shi QIU. Cross-modality Multi-encoder Hybrid Attention U-Net for Lung Tumors Images Segmentation[J]. Acta Photonica Sinica, 2022, 51(4): 0410006
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