Towards open-set touchless palmprint recognition via weight-based meta metric learning [0.03%]
基于权重的元度量学习的开集无接触掌纹识别方法
Huikai Shao,Dexing Zhong
Huikai Shao
Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint recognition shows great potential when the hygiene issues are consid...
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays [0.03%]
基于胸部X光的COVID-19诊断深度网络的帕累托优化
Valerio Guarrasi,Natascha Claudia D&#x;Amico,Rosa Sicilia et al.
Valerio Guarrasi et al.
The year 2020 was characterized by the COVID-19 pandemic that has caused, by the end of March 2021, more than 2.5 million deaths worldwide. Since the beginning, besides the laboratory test, used as the gold standard, many applications have ...
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network [0.03%]
基于不对称深度学习网络的视网膜图像视盘自动化分割方法
Lei Wang,Juan Gu,Yize Chen et al.
Lei Wang et al.
Accurate segmentation of the optic disc (OD) regions from color fundus images is a critical procedure for computer-aided diagnosis of glaucoma. We present a novel deep learning network to automatically identify the OD regions. On the basis ...
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign [0.03%]
用于分类COVID-19疫苗接种活动优先级的统一层次化XGBoost模型
Luca Romeo,Emanuele Frontoni
Luca Romeo
The current ML approaches do not fully focus to answer a still unresolved and topical challenge, namely the prediction of priorities of COVID-19 vaccine administration. Thus, our task includes some additional methodological challenges mainl...
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images [0.03%]
一种基于新冠肺炎CT图像的肺部感染区域分割的渐进式全球感知和局部优化网络方法
Nan Mu,Hongyu Wang,Yu Zhang et al.
Nan Mu et al.
In this paper, a progressive global perception and local polishing (PCPLP) network is proposed to automatically segment the COVID-19-caused pneumonia infections in computed tomography (CT) images. The proposed PCPLP follows an encoder-decod...
Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy [0.03%]
基于距离偏差朴素贝叶斯(DBNB)分类策略的COVID-19患者准确检测方法
Warda M Shaban,Asmaa H Rabie,Ahmed I Saleh et al.
Warda M Shaban et al.
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of billions of people. Early detection of COVID-19 patients is an important issue for treating and controlling the disease from spreading. In this paper...
Pablo Vieira,Orrana Sousa,Deborah Magalhães et al.
Pablo Vieira et al.
COVID-19 leads to radiological evidence of lower respiratory tract lesions, which support analysis to screen this disease using chest X-ray. In this scenario, deep learning techniques are applied to detect COVID-19 pneumonia in X-ray images...
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images [0.03%]
一种新的基于CT图像的新冠肺炎肺实变分割网络：SCOAT-Net
Shixuan Zhao,Zhidan Li,Yang Chen et al.
Shixuan Zhao et al.
Automatic segmentation of lung opacification from computed tomography (CT) images shows excellent potential for quickly and accurately quantifying the infection of Coronavirus disease 2019 (COVID-19) and judging the disease development and ...
COVID-index: A texture-based approach to classifying lung lesions based on CT images [0.03%]
基于CT图像的纹理方法在肺炎病变分类中的应用
Vitória de Carvalho Brito,Patrick Ryan Sales Dos Santos,Nonato Rodrigues de Sales Carvalho et al.
Vitória de Carvalho Brito et al.
COVID-19 is an infectious disease caused by a newly discovered type of coronavirus called SARS-CoV-2. Since the discovery of this disease in late 2019, COVID-19 has become a worldwide concern, mainly due to its high degree of contagion. As ...
COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention Network [0.03%]
基于多核大小空间通道注意力网络的COVID-19 X射线图像检测方法
Yuqi Fan,Jiahao Liu,Ruixuan Yao et al.
Yuqi Fan et al.
Novel coronavirus 2019 (COVID-19) has spread rapidly around the world and is threatening the health and lives of people worldwide. Early detection of COVID-19 positive patients and timely isolation of the patients are essential to prevent i...