Segmentation and classification of lungs CT-scan for detecting COVID-19 abnormalities by deep learning technique: U-Net model
CONCLUSION: We designed a DL-based model for the segmentation of COVID-19 CT scan images and, based on this model, constructed a web-based application that, according to the results, is a reliable detector for infected tissue in lung CT-scans. The availability of such tools would aid in automating, prioritizing, fastening, and broadening the treatment of COVID-19 patients globally.PMID:38605799 | PMC:PMC11006039 | DOI:10.4103/jfmpc.jfmpc_695_23
Source: Primary Care - Category: Primary Care Authors: Abdoulreza S Moosavi Ashraf Mahboobi Farzin Arabzadeh Nazanin Ramezani Helia S Moosavi Golbarg Mehrpoor Source Type: research
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