https://www.selleckchem.com/products/tween-80.html
BACKGROUND Interstitial lung disease requires frequent re-examination, which directly causes excessive cumulative radiation exposure. To date, AI has not been applied to CT for enhancing clinical care; thus, we hypothesize AI may empower CT with intelligence to realize automatic and accurate pulmonary scanning, thus dramatically decrease medical radiation exposure without compromising patient care. METHODS Facial boundary detection was realized by recognizing adjacent jaw position through training and testing a region proposal network
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