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Found 4 papers, 1 papers with code
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
We then assess the predictive ability of these models for COVID-19 severity using an independent new dataset that is stratified for COVID-19 lung involvement.
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
Decision trees mined using this method may be considered as a starting point for refinement into clinically useful multi-variate lung cancer malignancy models for implementation as a workflow augmentation tool to improve the efficiency of human radiologists.
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
As the primary contribution, this method correlates well to patient severity in different stages of disease progression with competitive results compared to other existing, more complex methods.
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19.
