Automated classification of cervical lymph-node-level from ultrasound using Depthwise Separable Convolutional Swin Transformer.

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作者： Yanting,Liu ^[1] ; Junjuan,Zhao ^[2] ; Quanyong,Luo ^[3] ; Chentian,Shen ^[3] ; Ren,Wang ^[4] ; Xuehai,Ding ^[5]

作者单位： School of Computer Engineering and Science, Shanghai University, Shangda Rd, Shanghai, 200444, China. Electronic address: SylviaLau@shu.edu.cn. ^[1] School of Computer Engineering and Science, Shanghai University, Shangda Rd, Shanghai, 200444, China. ^[2] Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Rd, Shanghai, 200233, China. ^[3] Department of Ultrasound Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Rd, Shanghai, 200233, China. ^[4] School of Computer Engineering and Science, Shanghai University, Shangda Rd, Shanghai, 200444, China. Electronic address: dinghai@shu.edu.cn. ^[5]

关键词 Cervical ultrasound Data imbalance Depthwise separable convolution Lymph-node-level classification Visualization

主题词中国(China);人类(Humans);淋巴结(Lymph Nodes);淋巴转移(Lymphatic Metastasis);颈(Neck);超声检查(Ultrasonography)

DOI 10.1016/j.compbiomed.2022.105821

PMID 35853399

发布时间 2022-09-29

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