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收藏Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation基于伪监督细化策略的数据高效联邦半监督学习框架用于肺部肿瘤分割
Li, Weixing; Pan, Xipeng; Zhang, Zhen; Wu, Guangyao; Ye, Guanchao; Wee, Leonard; Dekker, Andre; Han, Chu; Shi, Lei; Liu, Zaiyi; Liu, Zhenbing; Shi, Zhenwei
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收藏Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation基于自监督策略的高效标签Transformer框架用于异质性肺肿瘤分割
Liu, Zhenbing; Li, Weixing; Cui, Yanfen; Chen, Xin; Pan, Xipeng; Ye, Guanchao; Wu, Guangyao; Liao, Yongde; Han, Chu; Liu, Zaiyi; Shi, Zhenwei
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收藏Spatial distance between tumor and lymphocyte can predict the survival of patients with resectable lung adenocarcinoma
Pan, Xipeng; Feng, Siyang; Wang, Yumeng; Chen, Jiale; Lin, Huan; Wang, Zimin; Hou, Feihu; Lu, Cheng; Chen, Xin; Liu, Zhenbing; Li, Zhenhui; Cui, Yanfen; Liu, Zaiyi
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收藏Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study人工智能量化的肿瘤-淋巴细胞空间相互作用可预测切除的肺腺癌的无病生存率: 一项基于图形的多中心研究
Feng, Zhengyun; Lin, Huan; Liu, Zaiyi; Yan, Lixu; Wang, Yumeng; Li, Bingbing; Liu, Entao; Han, Chu; Shi, Zhenwei; Lu, Cheng; Liu, Zhenbing; Pang, Cheng; Li, Zhenhui; Cui, Yanfen; Pan, Xipeng; Chen, Xin
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