A Pipeline for Automated Quality Control of Chest Radiographs.

This article presents a suite of quality control tools for chest radiographs based on traditional and artificial intelligence methods, developed and tested with data from 39 centers in seven countries.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-03-10
DOI
https://doi.org/10.17863/cam.116511
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

A Pipeline for Automated Quality Control of Chest Radiographs.

Apollo (University of Cambridge)
COVID-19 diagnosis using AI
article

A Pipeline for Automated Quality Control of Chest Radiographs.

article en

Abstract

This article presents a suite of quality control tools for chest radiographs based on traditional and artificial intelligence methods, developed and tested with data from 39 centers in seven countries.

Apollo (University of Cambridge)
Engineering and Physical Sciences Research Council
Partnerships for the goals
Openalex Percentile: Top 39%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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A Pipeline for Automated Quality Control of Chest Radiographs. · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS