Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226281812> ?p ?o ?g. }
- W4226281812 endingPage "277" @default.
- W4226281812 startingPage "257" @default.
- W4226281812 abstract "The World Health Organization declared COVID-19 as a global pandemic in March 2020. As of January 2021, more than 96.2 million confirmed cases have been recorded, causing catastrophic damage around the world. To diagnose COVID-19 patients, PCR testing takes time, and the test findings tend to be of low accuracy relative to computerized tomography (CT) testing. The aim of this study is to develop a system for early detection of COVID-19 pneumonia using machine intelligence with CT angiography. Three forms of CT scan images from the Union Hospital and Liyuan Hospital were used as the dataset. We randomly collected 27% of positive CT image samples and 11% of negative CT image samples from the original dataset. The proposed system consists of a convolutional neural network and cascade classifier model for identifying ground-glass opacity (GGO) regions in the lungs. The proposed machine learning algorithm for COVID-19 pneumonia detection achieved 92.8% accuracy at 0.931 precision." @default.
- W4226281812 created "2022-05-05" @default.
- W4226281812 creator A5058549546 @default.
- W4226281812 creator A5075423923 @default.
- W4226281812 creator A5079484680 @default.
- W4226281812 date "2022-01-01" @default.
- W4226281812 modified "2023-09-30" @default.
- W4226281812 title "Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography" @default.
- W4226281812 cites W1187712878 @default.
- W4226281812 cites W1990073288 @default.
- W4226281812 cites W2039157860 @default.
- W4226281812 cites W2044029912 @default.
- W4226281812 cites W2056297672 @default.
- W4226281812 cites W2102148524 @default.
- W4226281812 cites W2118386984 @default.
- W4226281812 cites W2124386111 @default.
- W4226281812 cites W2133860205 @default.
- W4226281812 cites W2139212933 @default.
- W4226281812 cites W2145684092 @default.
- W4226281812 cites W2226808373 @default.
- W4226281812 cites W2315075631 @default.
- W4226281812 cites W2342591535 @default.
- W4226281812 cites W2538301961 @default.
- W4226281812 cites W2562850360 @default.
- W4226281812 cites W2609625738 @default.
- W4226281812 cites W2617669016 @default.
- W4226281812 cites W2618530766 @default.
- W4226281812 cites W2921114310 @default.
- W4226281812 cites W2962949934 @default.
- W4226281812 cites W2963448349 @default.
- W4226281812 cites W2964015318 @default.
- W4226281812 cites W2965857035 @default.
- W4226281812 cites W3001118548 @default.
- W4226281812 cites W3001897055 @default.
- W4226281812 cites W3004668429 @default.
- W4226281812 cites W3004824173 @default.
- W4226281812 cites W3008627141 @default.
- W4226281812 cites W3011048075 @default.
- W4226281812 cites W3014523495 @default.
- W4226281812 cites W3014993555 @default.
- W4226281812 cites W3016924174 @default.
- W4226281812 cites W3017695658 @default.
- W4226281812 cites W3100816363 @default.
- W4226281812 cites W3111122084 @default.
- W4226281812 cites W3112162081 @default.
- W4226281812 cites W3168306369 @default.
- W4226281812 cites W3177144346 @default.
- W4226281812 cites W3183875557 @default.
- W4226281812 cites W4206822952 @default.
- W4226281812 doi "https://doi.org/10.1016/b978-0-323-90548-0.00013-9" @default.
- W4226281812 hasPublicationYear "2022" @default.
- W4226281812 type Work @default.
- W4226281812 citedByCount "2" @default.
- W4226281812 countsByYear W42262818122022 @default.
- W4226281812 crossrefType "book-chapter" @default.
- W4226281812 hasAuthorship W4226281812A5058549546 @default.
- W4226281812 hasAuthorship W4226281812A5075423923 @default.
- W4226281812 hasAuthorship W4226281812A5079484680 @default.
- W4226281812 hasConcept C121608353 @default.
- W4226281812 hasConcept C126322002 @default.
- W4226281812 hasConcept C126838900 @default.
- W4226281812 hasConcept C142724271 @default.
- W4226281812 hasConcept C154945302 @default.
- W4226281812 hasConcept C163716698 @default.
- W4226281812 hasConcept C2777001051 @default.
- W4226281812 hasConcept C2777914695 @default.
- W4226281812 hasConcept C2779134260 @default.
- W4226281812 hasConcept C2780643987 @default.
- W4226281812 hasConcept C2781182431 @default.
- W4226281812 hasConcept C3008058167 @default.
- W4226281812 hasConcept C41008148 @default.
- W4226281812 hasConcept C524204448 @default.
- W4226281812 hasConcept C544519230 @default.
- W4226281812 hasConcept C71924100 @default.
- W4226281812 hasConcept C81363708 @default.
- W4226281812 hasConceptScore W4226281812C121608353 @default.
- W4226281812 hasConceptScore W4226281812C126322002 @default.
- W4226281812 hasConceptScore W4226281812C126838900 @default.
- W4226281812 hasConceptScore W4226281812C142724271 @default.
- W4226281812 hasConceptScore W4226281812C154945302 @default.
- W4226281812 hasConceptScore W4226281812C163716698 @default.
- W4226281812 hasConceptScore W4226281812C2777001051 @default.
- W4226281812 hasConceptScore W4226281812C2777914695 @default.
- W4226281812 hasConceptScore W4226281812C2779134260 @default.
- W4226281812 hasConceptScore W4226281812C2780643987 @default.
- W4226281812 hasConceptScore W4226281812C2781182431 @default.
- W4226281812 hasConceptScore W4226281812C3008058167 @default.
- W4226281812 hasConceptScore W4226281812C41008148 @default.
- W4226281812 hasConceptScore W4226281812C524204448 @default.
- W4226281812 hasConceptScore W4226281812C544519230 @default.
- W4226281812 hasConceptScore W4226281812C71924100 @default.
- W4226281812 hasConceptScore W4226281812C81363708 @default.
- W4226281812 hasLocation W42262818121 @default.
- W4226281812 hasOpenAccess W4226281812 @default.
- W4226281812 hasPrimaryLocation W42262818121 @default.
- W4226281812 hasRelatedWork W13004241 @default.
- W4226281812 hasRelatedWork W1993538234 @default.
- W4226281812 hasRelatedWork W2033744692 @default.