Article

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

2020-09-18

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> To improve and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. <h4>Materials and Methods</h4> A published convolutional Siamese neural network-based model previously trained on hospitalized patients with COVID-19 was tuned using 250 outpatient CXRs. This model...

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Literature Corpus work: 5138d8a9-109b-51d2-b1a2-a5dc990a97d8
DOI: 10.1101/2020.09.15.20195453

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