Deep Learning, Artificial Intelligence, Image Classification, Medical Imaging, Radiology.
entropy losses is used: The dataset is split into training (70%), validation (10%), and test (20%) sets, following ChestX-ray14. 2. Results 2.1. Binary Classification: CheXNet vs Radiologists Binary Classification: CheXNet vs Radiologists CheXNet achieves an F1 score of 0.435 (95% CI 0.387, 0.481),