CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

Investigating Generalization of Chest X-Ray Algorithms.

Benchmarking saliency methods for chest X-ray interpretation

Recalibration of deep learning models for abnormality detection in

PDF) CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

PDF] CheXternal: generalization of deep learning models for chest

Tuberculosis detection in chest radiograph using convolutional

Tuberculosis detection in chest radiograph using convolutional

PDF] CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation

Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence

Using Artificial Intelligence for COVID-19 Chest X-ray Diagnosis

Learning to diagnose common thorax diseases on chest radiographs