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A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.

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第一作者： Yaoting,Yue

第一单位： Department of Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200438, PR China.

作者： Yaoting,Yue ^[1] ; Nan,Li ^[2] ; Gaobo,Zhang ^[1] ; Wenyu,Xing ^[3] ; Zhibin,Zhu ^[4] ; Xin,Liu ^[5] ; Shaoli,Song ^[6] ; Dean,Ta ^[7]

作者单位： Department of Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200438, PR China. ^[1] Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai 201321, PR China. ^[2] Academy for Engineering and Technology, Fudan University, Shanghai 200433, PR China. ^[3] Department of Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200438, PR China; School of Physics and Electromechanical Engineering, Hexi University, Zhangye 734000, Gansu, PR China. ^[4] Academy for Engineering and Technology, Fudan University, Shanghai 200433, PR China. Electronic address: xin_liu@fudan.edu.cn. ^[5] Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai 201321, PR China. Electronic address: shaoli-song@163.com. ^[6] Department of Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200438, PR China; Academy for Engineering and Technology, Fudan University, Shanghai 200433, PR China. Electronic address: tda@fudan.edu.cn. ^[7]

关键词 Esophageal gross tumor volume Feature fusion PET/CT Segmentation Transformer