Images from the Frontlines of the COVID-19 PandemicPart of special article in Anesthesiology Images from the Frontlines of the COVID-19 Pandemicdoi:10.1097/ALN.0000000000003513Cor SlagtAnesthesiology
目的 探讨新型冠状病毒肺炎患者肺超声与CT影像相关性,肺超声对COVID-19患者肺部病变评估的作用。 方法 超声医师采用单侧六分区法对25例COVID-19患者进行床旁肺超声顺序盲扫,观察每个肺区胸膜线厚度、形态、完整性,胸膜滑动征,A线,B线的分布、数目、融合范围,肺实变位置、内部回声、范围,是否有胸腔积液等伴随征象。
We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images. An independent pre-trained criterion is added to the co
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COVID-19-CT SCAN IMAGES数据集包含了1400张CT肺部扫描图像。该数据集有两种类别,其中新冠(COVID-19)阳性患者的CT扫描图像有58张,未感染新冠的CT扫描图像有1342张。肺部CT扫描图像对判断是否患有新冠疾病及新冠感染程度都有重要帮助。准确快速地筛查出新冠阳性患者不但有利于患者尽快恢复健康,更有利于快速控制这一传...
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COVID-19 Feature Fusion DenseNet VGG16 Image classification 1. Introduction Pneumonia-type illnesses are more contagious during the flu season [1], [2]. Chest X-rays (CXRs) play an important role in patient care. Radiologists can use CXR features to determine the type of pneumonia and the ...
That’s why we asked professional photographers around the world to contribute their photos of life during the Coronavirus, COVID-19. Here’s what they shared. Leah Phillips | Lonely Coney Island | Brooklyn, USA Mark Forbes | Beautiful Solitude | Unknown ...
public datasets: COVID-19 Chest X-ray Dataset Initiative, ActualMed COVID-19 Chest X-ray Dataset Initiative, and COVID-19 radiography database for evaluation. Experimental results demonstrate that the proposed method improves the performance of COVID-19 detection and achieves an accuracy of 98.2%...
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest X-ray (CXR) imaging has several advantages over other imaging and de...