Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs.

 We recommend using low dropout rates (0.5) and RmsProp or Adam optimizer for pneumonia-detecting CNNs. Additionally, we discourage using the DenseNet121 CNN when other CNNs are available. Finally, the batch size may be set to any value, dependent on computational resources.