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Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging
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AI Can Greatly Reduce Radiologist Workload if Used as a First Read Filter to Rule-Out Negative Cases in Lung Cancer Screening
Low-Dose CT Iterative Reconstructions can Impact Lung Nodule Measurements and Type Classification
Artificial Intelligence as Concurrent Reader in Prospective European Lung Cancer Screening (4-INTHE-LUNG-RUN) Trial
Deep Learning–Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality
See Lung Cancer with an AI
Artificial intelligence in lung cancer: current applications and perspectives
Artificial Intelligence in Lung Imaging
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