Not logged in.png)
Share.png)
SaveShare Save Share Save Share Save Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation
Li, Weixing; Pan, Xipeng; Zhang, Zhen; Wu, Guangyao; Ye, Guanchao; Wee, Leonard; Dekker, Andre; Han, Chu; Shi, Lei; Liu, Zaiyi; Liu, Zhenbing; Shi, Zhenwei Share Save Share Save Share Save Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentationLiu, Zhenbing; Li, Weixing; Cui, Yanfen; Chen, Xin; Pan, Xipeng; Ye, Guanchao; Wu, Guangyao; Liao, Yongde; Han, Chu; Liu, Zaiyi; Shi, Zhenwei Share Save Share Save Share Save Share Save Spatial distance between tumor and lymphocyte can predict the survival of patients with resectable lung adenocarcinomaPan, 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 Share Save Share Save Share Save Share Save Share Save Share Save Share Save Share Save Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre studyFeng, 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 Share Save 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
