Pulmonary embolism(PE)is one of the fatal heart attacks,and lower limbs deep vein thrombosis(DVT)is the most common reason for PE.Inferior vena cava filter(IVCF)implantation is a most prevention for PE.But it may carr...Pulmonary embolism(PE)is one of the fatal heart attacks,and lower limbs deep vein thrombosis(DVT)is the most common reason for PE.Inferior vena cava filter(IVCF)implantation is a most prevention for PE.But it may carry a high risk of injury because of the radiation and contrast agent.Patients with nephrotic syndrome(NS)or some other renal diseases may prone to thrombosis due to the excretion of protein C and protein S overmuch.So,it is necessary to develop a new therapy without contrast agent.Mixed-reality(MR)is a new technology as a guidance of inferior vena cava filter implantation exposed under no X-ray and required no contrast agent.展开更多
We advanced an emerging federated learning technology in city intelligentization for tackling a real challenge-to learn damaged objects in aerial videos.Ameta-learning system was integrated with the fuzzy broad learni...We advanced an emerging federated learning technology in city intelligentization for tackling a real challenge-to learn damaged objects in aerial videos.Ameta-learning system was integrated with the fuzzy broad learning system to further develop the theory of federated learning.Both the mixed picture set of aerial video segmentation and the 3D-reconstructed mixed-reality data were employed in the performance of the broad federated meta-learning system.The study results indicated that the object classification accuracy is up to 90%and the average time cost in damage detection is only 0.277 s.Consequently,the broad federated meta-learning system is efficient and effective in detecting damaged objects in aerial videos.展开更多
基金supported by Capital Clinical Application Research Project(No.Z181100001718042)
文摘Pulmonary embolism(PE)is one of the fatal heart attacks,and lower limbs deep vein thrombosis(DVT)is the most common reason for PE.Inferior vena cava filter(IVCF)implantation is a most prevention for PE.But it may carry a high risk of injury because of the radiation and contrast agent.Patients with nephrotic syndrome(NS)or some other renal diseases may prone to thrombosis due to the excretion of protein C and protein S overmuch.So,it is necessary to develop a new therapy without contrast agent.Mixed-reality(MR)is a new technology as a guidance of inferior vena cava filter implantation exposed under no X-ray and required no contrast agent.
基金This research was funded by the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20060303)the National Natural Science Foundation of China(41571299)the High-Level Base-Building Project for Industrial Technology Innovation(1021GN204005-A06).
文摘We advanced an emerging federated learning technology in city intelligentization for tackling a real challenge-to learn damaged objects in aerial videos.Ameta-learning system was integrated with the fuzzy broad learning system to further develop the theory of federated learning.Both the mixed picture set of aerial video segmentation and the 3D-reconstructed mixed-reality data were employed in the performance of the broad federated meta-learning system.The study results indicated that the object classification accuracy is up to 90%and the average time cost in damage detection is only 0.277 s.Consequently,the broad federated meta-learning system is efficient and effective in detecting damaged objects in aerial videos.
