Research Presentation Sessions: Chest

RPS 504 - The next frontier: radiomics and machine learning in thoracic imaging

Lectures

1
Evaluation of radiologists’ performance with and without AI for the detection of thoracic abnormalities on chest x-ray

Evaluation of radiologists’ performance with and without AI for the detection of thoracic abnormalities on chest x-ray

07:00Guillaume Chassagnon, Paris / FR

2
Will I change nodule management recommendations if I change my CAD system? - Volumetry of artificial pulmonary nodules by different CAD systems

Will I change nodule management recommendations if I change my CAD system? - Volumetry of artificial pulmonary nodules by different CAD systems

07:00Alan Arthur Peters, Bern / CH

3
Computed tomography embolus texture analysis as a prognostic marker of acute pulmonary embolism

Computed tomography embolus texture analysis as a prognostic marker of acute pulmonary embolism

07:00Hans-Jonas Meyer, Leipzig / DE

4
Retrospective validation of nodule management based on deep learning-based malignancy thresholds in lung cancer screening

Retrospective validation of nodule management based on deep learning-based malignancy thresholds in lung cancer screening

07:00Noa Antonissen, Arnhem / NL

5
Correlation between CT radiomic features of lung parenchyma and baseline respiratory function in ES-NSCLC patients treated with SBRT: an exploratory analysis

Correlation between CT radiomic features of lung parenchyma and baseline respiratory function in ES-NSCLC patients treated with SBRT: an exploratory analysis

07:00Federico Mastroleo, Milan / IT

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