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

Investigating Generalization of Chest X-Ray Algorithms.

A Generalized Deep Learning Model for Multi-disease Chest X-Ray Diagnostics

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

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

Jeremy IRVIN, Stanford University, CA, SU

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

Diagnostics, Free Full-Text

PDF] CheXpedition: Investigating Generalization Challenges for

Applied Sciences, Free Full-Text

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

Diagnostics, Free Full-Text

CheXaid: deep learning assistance for physician diagnosis of

An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph

PDF] CheXtransfer: performance and parameter efficiency of

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

PDF) VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations