Hierarchical transfer learning process.

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  by: Nastaran Enshaei (9405653)
  Published: (2025)
• Summary of reported AUC values from previous studies and the proposed model across different CXR-based pneumonia detection tasks. All studies had close collaboration with radiologists for data interpretation and validation.
  by: Nastaran Enshaei (9405653)
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• Evaluation of the severity scoring model’s robustness to inter-observer variability. The model was trained using the average scores from four radiologists. During testing, one radiologist was excluded at a time, and performance was compared against the remaining consensus. Results include overall Pearson correlation and MAE, along with subgroup MAEs across three severity levels: Group 1 (SI ≤ 8), Group 2 (9 ≤ SI < 16), and Group 3 (SI ≥ 16). Pearson Co.: Pearson correlation. MAE: mean absolute error. SI: Severity score Index.
  by: Nastaran Enshaei (9405653)
  Published: (2025)
• External validation results of the diagnostic model on the COVIDGR-1.0 dataset, compared with previously published models (COVIDNet-CXR and COVID-CAPS). Performance metrics include class-wise recall, precision, F1-score, and overall accuracy.
  by: Nastaran Enshaei (9405653)
  Published: (2025)
• Ablation study in the second diagnosis scenario (including all 808 COVID-19 CXRs) over the five-fold cross-validation approach. In all experiments, the segmented thorax regions have been used as the model input.
  by: Nastaran Enshaei (9405653)
  Published: (2025)