https://www.selleckchem.com/pr....oducts/dihydroethidi
853 and 0.763 for the deep learning methods, and 0.761 and 0.704 for the traditional ones. Deep learning is a viable approach for semi-automated segmentation of pulmonary nodules on CT scans. Deep learning is a viable approach for semi-automated segmentation of pulmonary nodules on CT scans. This study aimed to establish a non-invasive and simple screening model of coronary atherosclerosis burden based on the associations between multiple blood parameters and total plaque score (TPS), segment-stenosis score (SSS), coronary arter
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