A computerized doughty predictor framework for corona virus disease: Combined deep learning based approach [0.03%]
冠状病毒疾病的计算机化预测框架：结合深度学习的方法
Due to a technical error, the following article was published in error on Wiley Online Library as an Accepted Article on 5 December 2022. The article has been temporarily removed. Wiley would like to apologize to the authors and the academi...
LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images [0.03%]
基于胸部X光图像的自动新冠肺炎肺部感染检测方法(LW-CovidNet)
Noor Ahmed,Xin Tan,Lizhuang Ma
Noor Ahmed
Coronavirus Disease 2019 (Covid-19) overtook the worldwide in early 2020, placing the world's health in threat. Automated lung infection detection using Chest X-ray images has a ton of potential for enhancing the traditional covid-19 treatm...
A COVID-19 CXR image recognition method based on MSA-DDCovidNet [0.03%]
基于MSA-DDCovidNet的COVID-19 CXR图像识别方法
Wei Wang,Wendi Huang,Xin Wang et al.
Wei Wang et al.
Currently, coronavirus disease 2019 (COVID-19) has not been contained. It is a safe and effective way to detect infected persons in chest X-ray (CXR) images based on deep learning methods. To solve the above problem, the dual-path multi-sca...
Ziwang Huang,Liang Li,Xiang Zhang et al.
Ziwang Huang et al.
The rapid spread of the novel coronavirus disease 2019 (COVID-19) causes a significant impact on public health. It is critical to diagnose COVID-19 patients so that they can receive reasonable treatments quickly. The doctors can obtain a pr...
Emrah Irmak
Emrah Irmak
Due to the highly infectious nature of the novel coronavirus (COVID-19) disease, excessive number of patients waits in the line for chest X-ray examination, which overloads the clinicians and radiologists and negatively affects the patient'...
A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images [0.03%]
一种基于金字塔注意力和边缘损失的多分类COVID-19分割网络（CT图像）
Fuli Yu,Yu Zhu,Xiangxiang Qin et al.
Fuli Yu et al.
At the end of 2019, a novel coronavirus COVID-19 broke out. Due to its high contagiousness, more than 74 million people have been infected worldwide. Automatic segmentation of the COVID-19 lesion area in CT images is an effective auxiliary ...
Image denoising algorithm based on contourlet transform for optical coherence tomography heart tube image [0.03%]
一种基于轮廓变换的光学相干断层扫描心脏管图像去噪算法
Qing Guo,Fangmin Dong,Shuifa Sun et al.
Qing Guo et al.
Optical coherence tomography (OCT) is becoming an increasingly important imaging technology in the Biomedical field. However, the application of OCT is limited by the ubiquitous noise. In this study, the noise of OCT heart tube image is fir...
Towards automatic image analysis and assessment of the multicellular apoptosis process [0.03%]
趋向自动图像分析和多细胞凋亡过程评估
Riccardo Ziraldo,Nichole Link,John Abrams et al.
Riccardo Ziraldo et al.
Apoptotic programmed cell death (PCD) is a fundamental aspect of developmental maturation. However, the authors' understanding of apoptosis, especially in the multi-cell regime, is incomplete because of the difficulty of identifying dying c...