A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
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DOI: 10.1038/s41598-020-76459-7
Abstract: This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation and volume quantification in computed tomography (CT) scans. Non-contrast whole-head… read more here.
Keywords: automated deep; segmentation; fully automated; fast fully ... See more keywords