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收藏Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information基于组织病理学图像、基因突变和临床信息的深度学习可预测宫颈癌患者总生存期
Shen, Jie; Miao, Zheng; Wang, Lixia; Huo, Zhen; Lu, Tao; Liang, Yuebin; Ji, Binbin; Xi, Shuxue; Tian, Geng; Yang, Jialiang; Zhang, Fuquan
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收藏Adaptive debiasing learning for drug repositioning药物重定位的自适应去偏学习
Meng, Yajie; Wang, Yi; Hu, Xinrong; Lu, Changcheng; Tang, Xianfang; Cui, Feifei; Zeng, Pan; Yao, Yuhua; Yang, Jialiang; Xu, Junlin
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收藏Prediction of colorectal cancer microsatellite instability and tumor mutational burden from histopathological images using multiple instance learning使用多实例学习从组织病理学图像预测结直肠癌微卫星不稳定性和肿瘤突变负荷
Wang, Wenyan; Shi, Wei; Nie, Chuanqi; Xing, Weipeng; Yang, Hailong; Li, Feng; Liu, Jinyang; Tian, Geng; Wang, Bing; Yang, Jialiang
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收藏Mechanisms, technical optimization, and perspectives in the recycling and reprocessing of waste wind turbine blades: A review废风电叶片回收与再加工中的机制、技术优化及展望:综述
Cheng, Leilei; Chen, Ruizhe; Yang, Jialiang; Chen, Xueru; Yan, Xinyu; Gu, Jing; Liu, Zejian; Chen, Yong
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收藏MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing dataMMsurv:一个集成病理图像、临床信息和测序数据的跨模态多实例多癌种生存预测模型
Yang, Hailong; Wang, Jia; Wang, Wenyan; Shi, Shufang; Liu, Lijing; Yao, Yuhua; Tian, Geng; Wang, Peizhen; Yang, Jialiang
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