Abstract
Deep learning techniques have recently achieved remarkable results in automated lung nodule detection. Previously, we developed a deep learning-based computer-aided detection (DL-CAD) system based on the CT scans from the United States. The purpose of this study was to validate its effectiveness for automatic pulmonary nodule detection in an external validation set from a lung cancer screening program.
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