A convolutional neural network-based COVID-19 detection method using chest CT images.

ABSTRACT:

Background

High-throughput population screening for the novel coronavirus disease (COVID-19) is critical to controlling disease transmission. Convolutional neural networks (CNNs) are a cutting-edge technology in the field of computer vision and may prove more effective than humans in medical diagnosis based on computed tomography (CT) images. Chest CT images can show pulmonary abnormalities in patients with COVID-19.

Methods

In this study, CT image preprocessing are firstly performed using fuzzy c-means (FCM) algorithm to extracted the region of the pulmonary parenchyma. Through multiscale transformation, the preprocessed image is subjected to multi scale transformation and RGB (red, green, blue) space construction. After then, the performances of GoogLeNet and ResNet, as th

SUBMITTER: Cao Y 

PROVIDER: S-EPMC9011247 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature