Article

Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning

2020-08-14

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Chest CT screening as supplementary means is crucial in diagnosing novel coronavirus pneumonia (COVID-19) with high sensitivity and popularity. Machine learning was adept in discovering intricate structures from CT images and achieved expert-level performance in medical image analysis. <bold>Methods:</bold> An integrated machine learning framework on chest CT im...

Topics

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

Identifiers and source

Literature Corpus work: 4669e077-4851-586a-9c54-73a3312b9467
DOI: 10.21203/rs.3.rs-31313/v3

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Differentiating novel coronavirus pneumonia from general pneumonia based on machine learningDOI 10.21203/rs.3.rs-31313/v3Read

Prediction of COVID-19 Diagnosis from Healthy and Pneumonia CT scans using Convolutional Neural NetworksSemantic proximity Read

Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity Read

Impact of ROIs Delineation Strategies on the Performance of Artificial Intelligence-Aided COVID-19 Screening AlgorithmsSemantic proximity Read

The “Ground-Glass” Mimicker in The Pandemic: A Novel Radiomics-Based Machine Learning Model Differentiates COVID-19 Pneumonia from Acute Non-COVID-19 Lung DiseaseSemantic proximity Read

An End-to-End Integrated Clinical and CT Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multi-Site Retrospective StudySemantic proximity Read

Deep-learning convolutional neural networks with transfer learning accurately classify COVID19 lung infection on portable chest radiographsSemantic proximity Read

COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray imagesSemantic proximity Read

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

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

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CTSemantic proximity Read

Application of deep learning to automated diagnosis of computed tomography images of pulmonary infectionsSemantic proximity Read

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