Deep Learning-Based Classification for Grading of Respiratory Distress Syndrome on Neonatal Chest Radiographs.
A deep learning-based multi-class classification model for automated grading of respiratory distress syndrome (RDS) severity on neonatal chest radiographs may provide objective and interpretable radiographic assessment of RDS severity and support more consistent radiographic evaluation in NICU.