thoracic radiography

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

The purpose of this study was to evaluate the calibration of a deep learning (DL) model in a diagnostic cohort, as well as to improve the model’s...

European Radiology

3 years ago

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Digital tomosynthesis (DTS) could be a realistic alternative to low dose CT for lung cancer screening, in particular for detecting nodules larger than 5 mm....

Stéphane Chauvie

3 years ago

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

In this study, the authors retrospectively collected 2,088 abnormal and 352 normal chest radiographs from two institutions in order to investigate the optimal...

European Radiology

3 years ago

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

In this study, the authors sought to investigate the feasibility of a deep learning-based detection (DLD) system for multiclass legions on chest radiograph....

European Radiology

3 years ago

thoracic radiography

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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