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Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 8, 页码: 0-0
Authors:  Bo,Wang;  Wei,Wei;  Shuang,Qiu;  Shengpei,Wang;  Huiguang,He
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Retinal layers segmentation  Boundary detection  OCT  BAU-Net  Topology guarantee loss  
基于快速序列视觉呈现的脑-机接口系统的解码算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  魏玮
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快速序列视觉呈现  脑-机接口  高精度脑电解码  领域自适应  元学习  
基于多模态深度学习的视觉神经信息解码方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  李丹
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视觉神经信息解码  多模态深度学习  半监督学习  多标签解码  数据增广  
基于深度学习的眼底影像分割与合成方法研究 学位论文
, 中国科学院大学: 中国科学院大学人工智能学院, 2021
Authors:  王搏
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眼底影像分割  眼底荧光造影合成  双编码网络  边缘感知网络  局 部自监督损失  
Mass Image Synthesis in Mammogram with Contextual Information Based on GANs 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 期号: 2021, 页码: 9
Authors:  Shen, Tianyu;  Hao, Kunkun;  Gou, Chao;  Wang, Fei-Yue
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medical image synthesis  generative adversarial network  mammogram  mass detection  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
Authors:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
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Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
A survey of brain-inspired intelligent robots with integration of vision, decision, motion control and musculoskeletal systems 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 暂无, 期号: 暂无, 页码: 暂无
Authors:  Hong Qiao;  Jiahao Chen;  Xiao Huang
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Brain-inspired intelligent robots  musculoskeletal robots  visual cognition  decision making  muscle control  
Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1477-1499
Authors:  Mohamed Amine Ferrag;  Lei Shu;  Kim-Kwang Raymond Choo
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Blockchain  COVID-19  healthcare  privacy  SARS-CoV-2  security  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
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Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
Authors:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
View  |  Adobe PDF(2315Kb)  |  Favorite  |  View/Download:53/7  |  Submit date:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography