Severity Assessment of COVID-19 Based on Feature Extraction and V-Descriptors [0.03%]
基于特征提取和V-描述符的新冠肺炎病情评估方法研究
Ben Ye,Xixi Yuan,Zhanchuan Cai et al.
Ben Ye et al.
Digital image feature recognition is significant to industrial information applications, such as bioengineering, medical diagnosis, and machinery industry. In order to supply an effective and reasonable technology of the severity assessment...
Enabling Privacy-Assured Fog-Based Data Aggregation in E-Healthcare Systems [0.03%]
基于雾计算的医疗系统中保障隐私的数据聚合方法研究
Cheng Guo,Pengxu Tian,Kim-Kwang Raymond Choo
Cheng Guo
Wearable body area network is a key component of the modern-day e-healthcare system (e.g., telemedicine), particularly as the number and types of wearable medical monitoring systems increase. The importance of such systems is reinforced in ...
COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network [0.03%]
基于优化卷积神经网络的新型冠状病毒肺炎CT图像自动检测方法研究
Aniello Castiglione,Pandi Vijayakumar,Michele Nappi et al.
Aniello Castiglione et al.
It is widely known that a quick disclosure of the COVID-19 can help to reduce its spread dramatically. Transcriptase polymerase chain reaction could be a more useful, rapid, and trustworthy technique for the evaluation and classification of...
EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images [0.03%]
基于胸部X光片的COVID-19病例检测的集成深度学习方法
Shanjiang Tang,Chunjiang Wang,Jiangtian Nie et al.
Shanjiang Tang et al.
Effective screening of COVID-19 cases has been becoming extremely important to mitigate and stop the quick spread of the disease during the current period of COVID-19 pandemic worldwide. In this article, we consider radiology examination of...
Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis [0.03%]
用于COVID-19诊断的增强多中心图卷积网络
Xuegang Song,Haimei Li,Wenwen Gao et al.
Xuegang Song et al.
Chest computed tomography (CT) scans of coronavirus 2019 (COVID-19) disease usually come from multiple datasets gathered from different medical centers, and these images are sampled using different acquisition protocols. While integrating m...
CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans [0.03%]
基于混合三级注意机制的CovTANet网络在COVID-19胸部CT图像中的病灶分割、诊断及严重程度预测中的应用研究
Tanvir Mahmud,Md Jahin Alam,Sakib Chowdhury et al.
Tanvir Mahmud et al.
Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global community to control the spread of this overgrowing pandemic. In this article, a hybrid neural network is proposed, named CovTANet, to provide an end...
Intelligent Intraoperative Haptic-AR Navigation for COVID-19 Lung Biopsy Using Deep Hybrid Model [0.03%]
基于深度混合模型的智能术中疫情肺活检触觉增强现实导航系统
Yonghang Tai,Kai Qian,Xiaoqiao Huang et al.
Yonghang Tai et al.
A novel intelligent navigation technique for accurate image-guided COVID-19 lung biopsy is addressed, which systematically combines augmented reality (AR), customized haptic-enabled surgical tools, and deep neural network to achieve customi...
An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images [0.03%]
一种有效的深层神经网络用于从COVID-19 CT图像中分割肺部病灶
Cheng Chen,Kangneng Zhou,Muxi Zha et al.
Cheng Chen et al.
Automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images can help to establish a quantitative model for diagnosis and treatment. For this reason, this article provides a new segmentation method to meet the needs ...
Residual Learning Diagnosis Detection: An Advanced Residual Learning Diagnosis Detection System for COVID-19 in Industrial Internet of Things [0.03%]
残差学习诊断检测：一种用于工业物联网中COVID-19的先进残差学习诊断检测系统
Mingdong Zhang,Ronghe Chu,Chaoyu Dong et al.
Mingdong Zhang et al.
Due to the fast transmission speed and severe health damage, COVID-19 has attracted global attention. Early diagnosis and isolation are effective and imperative strategies for epidemic prevention and control. Most diagnostic methods for the...
Trustworthy and Reliable Deep Learning-based Cyberattack Detection in Industrial IoT [0.03%]
基于深度学习的工业物联网中值得信赖和可靠的网络攻击检测方法研究
Fazlullah Khan,Ryan Alturki,Md Arafatur Rehman et al.
Fazlullah Khan et al.
A fundamental expectation of the stakeholders from the Industrial Internet of Things (IIoT) is its trustworthiness and sustainability to avoid the loss of human lives in performing a critical task. A trustworthy IIoT-enabled network encompa...