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收藏Core-Satellite Nanoassembly Overcomes Spatial Heterogeneity of Dendric Cell Distribution in Pancreatic Tumors for Effective Chemoimmunotherapy核-卫星纳米组装体克服了胰腺肿瘤中树突状细胞分布的空间异质性,以实现有效的化免联合疗法
Chen, GJ; Li, B; Li, T; Lin, MZ; Zhong, HH; Xie, XX; Zhang, QY; Chen, Q; Meng, XC; Xiao, ZC; Shuai, XT
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收藏Development and validation of the MRI-based deep learning classifier for distinguishing perianal fi stulizing Crohn's disease from cryptoglandular fi stula: a multicenter cohort study
Zhang, Heng; Li, Wenru; Chen, Tao; Deng, Ke; Yang, Bolin; Luo, Jingen; Yao, Jiaying; Lin, Yuhuan; Li, Juan; Meng, Xiaochun; Lin, Hongcheng; Ren, Donglin; Li, Lanlan
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收藏A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort study基于计算机断层扫描的多任务深度学习模型预测结直肠癌患者的肿瘤基质比率和治疗结果: 一项多中心队列研究
Cui, Yanfen; Zhao, Ke; Meng, Xiaochun; Mao, Yun; Han, Chu; Shi, Zhenwei; Yang, Xiaotang; Tong, Tong; Wu, Lei; Liu, Zaiyi
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收藏A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study基于纵向MRI的人工智能系统预测直肠癌新辅助治疗后病理完全缓解: 一项多中心验证研究
Ke, Jia; Jin, Cheng; Tang, Jinghua; Cao, Haimei; He, Songbing; Ding, Peirong; Jiang, Xiaofeng; Zhao, Hengyu; Cao, Wuteng; Meng, Xiaochun; Gao, Feng; Lan, Ping; Li, Ruijiang; Wu, Xiaojian
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收藏An MRI Deep Learning Model Predicts Outcome in Rectal CancerMRI深度学习模型预测直肠癌预后
Jiang, Xiaofeng; Zhao, Hengyu; Saldanha, Oliver Lester; Nebelung, Sven; Kuhl, Christiane; Amygdalos, Iakovos; Lang, Sven Arke; Wu, Xiaojian; Meng, Xiaochun; Truhn, Daniel; Kather, Jakob Nikolas; Ke, Jia
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收藏Computed tomography-based radiomics nomogram using machine learning for predicting 1-year surgical risk after diagnosis of Crohn's disease
Yao, Jiayin; Zhou, Jie; Zhong, Yingkui; Zhang, Min; Peng, Xiang; Zhao, Junzhang; Liu, Tao; Wang, Wei; Hu, Pinjin; Meng, Xiaochun; Zhi, Min
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收藏Prevalent Pseudoprogression and Pseudoresidue in Patients With Rectal Cancer Treated With Neoadjuvant Immune Checkpoint Inhibitors
Xie, Yumo; Lin, Jinxin; Zhang, Ning; Wang, Xiaolin; Wang, Puning; Peng, Shaoyong; Li, Juan; Wu, Yuanhui; Huang, Yaoyi; Zhuang, Zhuokai; Shen, Dingcheng; Zhu, Mingxuan; Liu, Xiaoxia; Liu, Guangjian; Meng, Xiaochun; Huang, Meijin; Yu, Huichuan; Luo, Yanxin
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收藏Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images分割仅使用稀疏注释: 医学图像中的统一弱半监督学习
Gao, Feng; Hu, Minhao; Zhong, Min-Er; Feng, Shixiang; Tian, Xuwei; Meng, Xiaochun; Ni-jia-ti, Ma-yi-di-li; Huang, Zeping; Lv, Minyi; Song, Tao; Zhang, Xiaofan; Zou, Xiaoguang; Wu, Xiaojian
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收藏A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study基于CT的深度学习影像组学列线图预测局部进展期胃癌患者新辅助化疗疗效: 一项多中心队列研究
Cui, Yanfen; Zhang, Jiayi; Li, Zhenhui; Wei, Kaikai; Lei, Ye; Ren, Jialiang; Wu, Lei; Shi, Zhenwei; Meng, Xiaochun; Yang, Xiaotang; Gao, Xin
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