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ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:253/23  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载:371/56  |  提交时间:2019/10/08
image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss