LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results [0.03%]
面向SARS-CoV-2抗原检测的快速诊断结果读取的轻量级旋转目标检测器 LightR-YOLOv5
Rongsheng Wang,Yaofei Duan,Menghan Hu et al.
Rongsheng Wang et al.
Nucleic acid testing is currently the golden reference for coronaviruses (SARS-CoV-2) detection, while the SARS-CoV-2 antigen-detection rapid diagnostic tests (RDT) is an important adjunct. RDT can be widely used in the community or regiona...
SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation [0.03%]
基于序列编码器和轻量级解码器的COVID-19感染区域分割网络（SELDMask）
Xiaole Fan,Xiufang Feng
Xiaole Fan
Segmenting regions of lung infection from computed tomography (CT) images shows excellent potential for rapid and accurate quantifying of Coronavirus disease 2019 (COVID-19) infection and determining disease development and treatment approa...
COVID-19 chest X-ray image classification in the presence of noisy labels [0.03%]
存在噪声标签的情况下对COVID-19的胸部X射线图像进行分类
Xiaoqing Ying,Hao Liu,Rong Huang
Xiaoqing Ying
The Corona Virus Disease 2019 (COVID-19) has been declared a worldwide pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The application of convolutional neural network with medical imaging helps to diagnose the dis...
ViDMASK dataset for face mask detection with social distance measurement [0.03%]
用于口罩检测和社交距离测量的ViDMASK数据集
Najmath Ottakath,Omar Elharrouss,Noor Almaadeed et al.
Najmath Ottakath et al.
The COVID-19 outbreak has extenuated the need for a monitoring system that can monitor face mask adherence and social distancing with the use of AI. With the existing video surveillance systems as base, a deep learning model is proposed for...
COVID-19 CT image recognition algorithm based on transformer and CNN [0.03%]
基于Transformer和CNN的COVID-19CT图像识别算法
Xiaole Fan,Xiufang Feng,Yunyun Dong et al.
Xiaole Fan et al.
Novel corona virus pneumonia (COVID-19) broke out in 2019, which had a great impact on the development of world economy and people's lives. As a new mainstream image processing method, deep learning network has been constructed to extract m...
Recognition efficiency of atypical cardiovascular readings on ECG devices through fogged goggles [0.03%]
佩戴雾镜下心电图设备对不典型心血管读数的识别效率
Jia-Wei Ren,Jun Yao,Ju Wang et al.
Jia-Wei Ren et al.
In their continuing battle against the COVID-19 pandemic, medical workers in hospitals worldwide need to wear safety glasses and goggles to protect their eyes from the possible transmission of the virus. However, they work for long hours an...
Sensitivity to Visual Speed Modulation in Head-Mounted Displays Depends on Fixation [0.03%]
头部穿戴显示器中对视觉速度调制的敏感度取决于注视点
Matthew Moroz,Isabelle Garzorz,Eelke Folmer et al.
Matthew Moroz et al.
A primary cause of simulator sickness in head-mounted displays (HMDs) is conflict between the visual scene displayed to the user and the visual scene expected by the brain when the user's head is in motion. It is useful to measure perceptua...
Generating an image that affords slant perception from stereo, without pictorial cues [0.03%]
基于立体图而无需图像线索生成倾斜感知图
J Galeotti,K Macdonald,J Wang et al.
J Galeotti et al.
This paper describes an algorithm for generating a planar image that when tilted provides stereo cues to slant, without contamination from pictorial gradients. As the stimuli derived from this image are ultimately intended for use in studie...
Displays in space [0.03%]
Nicholas Colford
Nicholas Colford
This chapter describes the human and environmental factors that dictate the way that displays must be designed for, and used in space. A brief history of the evolution of such display systems covers developments from the Mercury rockets to ...