# COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning

Source: [COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning](<https://www.sota2.com/research/paper/68fa68081e209131cea19aad>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-04T03:15:57.411Z

Authors: Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Younhee Choi, S. Deivalakshmi, Seokbum Ko

Published: 2020-06-16T21:31:02.000Z

## Abstract

One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image. In most of the patients, a chest x-ray contains abnormalities, such as consolidation, which are the results of COVID-19 viral pneumonia. In this study, research is conducted on efficiently detecting imaging features of this type of pneumonia using deep convolutional neural networks in a large dataset. It is demonstrated that simple models, alongside the majority of pretrained networks in the literature, focus on irrelevant features for decision-making. In this paper, numerous chest x-ray images from various sources are collected, and the largest publicly accessible dataset is prepared. Finally, using the transfer learning paradigm, the well-known CheXNet model is utilized for developing COVID-CXNet. This powerful model is capable of detecting the novel coronavirus pneumonia based on relevant and meaningful features with precise localization. COVID-CXNet is a step towards a fully automated and robust COVID-19 detection system.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [COVID-19 Classification on Frontal Chest X-ray Images (COVID-19 Pneumonia)](<https://www.sota2.com/research/sota/covid-19-classification-on-frontal-chest-x-ray-images-covid-19-pneumonia.md>): COVID-19 Classification; Frontal Chest X-ray Images (COVID-19 Pneumonia); F1 (CP Class): 92.21.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2006.13807>)

[PDF](<https://arxiv.org/pdf/2006.13807.pdf>)

[Implementation](<https://github.com/armiro/COVID-CXNet>)