Article

Robust and Interpretable COVID-19 Diagnosis on Chest X-Ray Images Using Adversarial Training

2023-04-20

Abstract excerpt

The novel 2019 Coronavirus disease (COVID-19) global pandemic is a defining health crisis. Recent efforts have been increasingly directed towards achieving quick and accurate detection of COVID-19 across symptomatic patients to mitigate the intensity and spread of the disease. Artificial intelligence (AI) algorithms applied to chest X-ray (CXR) images have emerged as promising diagnostic tools, and previous work h...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: c11a91ff-2721-5c3a-a4d9-5587890b38af
DOI: 10.2139/ssrn.4423355

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Robust and Interpretable COVID-19 Diagnosis on Chest X-Ray Images Using Adversarial TrainingDOI 10.2139/ssrn.4423355Read

COVIDScreen: Explainable deep learning framework for differential diagnosis of COVID-19 using chest X-RaysSemantic proximity Read

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localizationSemantic proximity Read

Detection of Covid-19 Cases Using Gan (Generative Adversarial Network)Semantic proximity Read

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-raysSemantic proximity Read

The Detection of COVID-19 in Chest X-Rays Using Ensemble CNN TechniquesSemantic proximity Read

Resoluteneuronet: Deep Learning-based Segmentation and Classification Covid-19 Using Chest X-ray ImagesSemantic proximity Read

COVID-19 Chest X-Ray Image Classification Using Deep LearningSemantic proximity Read

AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography ImagesSemantic proximity Read

COVID-19 Severity Prediction from Chest X-ray Images using an Anatomy-Aware Deep Learning ModelSemantic proximity Read

COVIDXception-Net: A Bayesian Optimization Based Deep Learning Approach to Diagnose COVID-19 from X-Ray ImagesSemantic proximity Read

Data Augmentation Using Generative Adversarial Networks (GANs) For GAN-Based Detection Of Pneumonia And COVID-19 In Chest X-Ray ImagesSemantic proximity Read

Transformative Approach for Prediction of Lung Disease Using Lung X-ray ImagesSemantic proximity Read