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

Investigating Generalization of Chest X-Ray Algorithms.

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

Benchmarking saliency methods for chest X-ray interpretation

Tuberculosis detection in chest radiograph using convolutional

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

Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning archi

PDF] CheXpedition: Investigating Generalization Challenges for

PDF] CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays

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

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

Jeremy IRVIN, Stanford University, CA, SU

PDF) A deep learning approach for the classification of TB from NIH CXR dataset