https://www.selleckchem.com/pr....oducts/bix-01294.htm
Purpose We used computerized image analysis and machine learning approaches to characterize spatial arrangement features of the immune response from digitized autopsied HE tissue images of the lung in coronavirus disease 2019 (COVID-19) patients. Additionally, we applied our approach to tease out potential morphometric differences from autopsies of patients who succumbed to COVID-19 versus H1N1. Approach HE lung whole slide images from autopsy specimens of nine COVID-19 and two H1N1 patients were computationally interrogated
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