Deep learning of longitudinal mammogram examinations for breast cancer risk prediction [0.03%]
基于纵向乳腺X线摄影检查的深度学习乳腺癌风险预测模型
Saba Dadsetan,Dooman Arefan,Wendie A Berg et al.
Saba Dadsetan et al.
Information in digital mammogram images has been shown to be associated with the risk of developing breast cancer. Longitudinal breast cancer screening mammogram examinations may carry spatiotemporal information that can enhance breast canc...
Invariance encoding in sliced-Wasserstein space for image classification with limited training data [0.03%]
有限训练数据下的图像分类的切片Wasserstein不变量编码方法
Mohammad Shifat-E-Rabbi,Yan Zhuang,Shiying Li et al.
Mohammad Shifat-E-Rabbi et al.
Deep convolutional neural networks (CNNs) are broadly considered to be state-of-the-art generic end-to-end image classification systems. However, they are known to underperform when training data are limited and thus require data augmentati...
Fadi Boutros,Naser Damer,Florian Kirchbuchner et al.
Fadi Boutros et al.
Using the face as a biometric identity trait is motivated by the contactless nature of the capture process and the high accuracy of the recognition algorithms. After the current COVID-19 pandemic, wearing a face mask has been imposed in pub...
A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction [0.03%]
用于非接触指纹纹 minutiae提取的多任务全深度卷积神经网络
Zhao Zhang,Shuxin Liu,Manhua Liu
Zhao Zhang
With the outbreak and wide spread of novel coronavirus (COVID-19), contactless fingerprint recognition has attracted more attention for personal recognition because it can provide significantly higher user convenience and hygiene than the t...
Ibrahim M Hezam,Abdulkarem Almshnanah,Ahmed A Mubarak et al.
Ibrahim M Hezam et al.
Unfortunately, the COVID-19 outbreak has been accompanied by the spread of rumors and depressing news. Herein, we develop a dynamic nested optimal control model of COVID-19 and its rumor outbreaks. The model aims to curb the epidemics by re...
Baojin Huang,Zhongyuan Wang,Guangcheng Wang et al.
Baojin Huang et al.
The outbreak of the COVID-19 coronavirus epidemic has promoted the development of masked face recognition (MFR). Nevertheless, the performance of regular face recognition is severely compromised when the MFR accuracy is blindly pursued. Mor...
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features [0.03%]
基于边界特征的CT图像新冠肺炎病灶分割网络GFNet
Chaodong Fan,Zhenhuan Zeng,Leyi Xiao et al.
Chaodong Fan et al.
In early 2020, the global spread of the COVID-19 has presented the world with a serious health crisis. Due to the large number of infected patients, automatic segmentation of lung infections using computed tomography (CT) images has great p...
COVID-19 contact tracking by group activity trajectory recovery over camera networks [0.03%]
基于摄像头网络的群体活动轨迹恢复接触追踪方法应对新冠肺炎疫情
Chao Wang,XiaoChen Wang,Zhongyuan Wang et al.
Chao Wang et al.
Contact tracking plays an important role in the epidemiological investigation of COVID-19, which can effectively reduce the spread of the epidemic. As an excellent alternative method for contact tracking, mobile phone location-based methods...
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images [0.03%]
基于胸部X光图像的COVID-19解释性诊断和严重程度评估的多任务注意网络(Covid-MANet)
Ajay Sharma,Pramod Kumar Mishra
Ajay Sharma
The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 disease can only be reduced by early diagnosis of COVID-19 infec...
The CP-ABM approach for modelling COVID-19 infection dynamics and quantifying the effects of non-pharmaceutical interventions [0.03%]
基于CP-ABM的方法模拟COVID-19感染并量化非药物干预效果
Aleksandar Novakovic,Adele H Marshall
Aleksandar Novakovic
The motivation for this research is to develop an approach that reliably captures the disease dynamics of COVID-19 for an entire population in order to identify the key events driving change in the epidemic through accurate estimation of da...