未登录From Slice to Sequence: Autoregressive Tracking Transformer for Consistent 3-D Lymph Node Detection in CT Scans从切片到序列：用于CT扫描中一致3-D淋巴结检测的自回归跟踪Transformer
Yu, Qinji; Wang, Yirui; Yan, Ke; Zheng, Dandan; Ai, Dashan; Guo, Dazhou; Ji, Zhanghexuan; Su, Yanzhou; Bian, Yun; Ding, Xiaowei; Guo, Yi; Zhao, Kuaile; Lu, Le; Shen, Na; Ye, Xianghua; Jin, Dakai .png)
分享.png)
收藏分享 收藏 Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts基于先验引导监督和站点感知专家混合的食管癌转移淋巴结分区分类Li, Haoshen; Wang, Yirui; Yu, Qinji; Zhu, Jie; Yan, Ke; Guo, Dazhou; Lu, Le; Dong, Bin; Zhang, Li; Ye, Xianghua; Wang, Qifeng; Jin, Dakai 分享 收藏 Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning通过解剖感知的多类分割和拓扑引导的迭代学习在ct扫描中准确分割气道树Wang, Puyang; Guo, Dazhou; Zheng, Dandan; Zhang, Minghui; Yu, Haogang; Sun, Xin; Ge, Jia; Gu, Yun; Lu, Le; Ye, Xianghua; Jin, Dakai 分享 收藏 Multi-site, Multi-domain Airway Tree ModelingZhang, Minghui; Wu, Yangqian; Zhang, Hanxiao; Qin, Yulei; Zheng, Hao; Tang, Wen; Arnold, Corey; Pei, Chenhao; Yu, Pengxin; Nan, Yang; Yang, Guang; Walsh, Simon; Marshall, Dominic C.; Komorowski, Matthieu; Wang, Puyang; Guo, Dazhou; Jin, Dakai; Wu, Ya'nan; Zhao, Shuiqing; Chang, Runsheng; Zhang, Boyu; Lu, Xing; Qayyum, Abdul; Mazher, Moona; Su, Qi; Wu, Yonghuang; Liu, Ying'ao; Zhu, Yufei; Yang, Jiancheng; Pakzad, Ashkan; Rangelov, Bojidar; Estepar, Raul San Jose; Espinosa, Carlos Cano; Sun, Jiayuan; Yang, Guang-Zhong; Gu, Yun 分享 收藏 分享 收藏 Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study在一项多机构研究中全面和临床准确的头颈部癌症危险器官描述Ye, Xianghua; Guo, Dazhou; Ge, Jia; Yan, Senxiang; Xin, Yi; Song, Yuchen; Yan, Yongheng; Huang, Bing-shen; Hung, Tsung-Min; Zhu, Zhuotun; Peng, Ling; Ren, Yanping; Liu, Rui; Zhang, Gong; Mao, Mengyuan; Chen, Xiaohua; Lu, Zhongjie; Li, Wenxiang; Chen, Yuzhen; Huang, Lingyun; Xiao, Jing; Harrison, Adam P.; Lu, Le; Lin, Chien-Yu; Jin, Dakai; Ho, Tsung-Ying 分享 收藏 分享 收藏 Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT使用Planning CT和fdg-pet/CT自动勾画食管大体肿瘤体积的双流深度学习方法的多机构验证Ye, Xianghua; Guo, Dazhou; Tseng, Chen-Kan; Ge, Jia; Hung, Tsung-Min; Pai, Ping-Ching; Ren, Yanping; Zheng, Lu; Zhu, Xinli; Peng, Ling; Chen, Ying; Chen, Xiaohua; Chou, Chen-Yu; Chen, Danni; Yu, Jiaze; Chen, Yuzhen; Jiao, Feiran; Xin, Yi; Huang, Lingyun; Xie, Guotong; Xiao, Jing; Lu, Le; Yan, Senxiang; Jin, Dakai; Ho, Tsung-Ying 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
