Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197341519> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3197341519 endingPage "1448" @default.
- W3197341519 startingPage "1439" @default.
- W3197341519 abstract "Coronavirus is one of the serious threat and challenge for existing healthcare systems. Several prevention methods and precautions have been proposed by medical specialists to treat the virus and secure infected patients. Deep learning methods have been adopted for disease detection, especially for medical image classification. In this paper, we proposed a deep learning-based medical image classification for COVID-19 patients namely deep learning model for coronavirus (DLM-COVID-19). The proposed model improves the medical image classification and optimization for better disease diagnosis. This paper also proposes a mobile application for COVID-19 patient detection using a self-assessment test combined with medical expertise and diagnose and prevent the virus using the online system. The proposed deep learning model is evaluated with existing algorithms where it shows better performance in terms of sensitivity, specificity, and accuracy. Whereas the proposed application also helps to overcome the virus risk and spread." @default.
- W3197341519 created "2021-09-13" @default.
- W3197341519 creator A5018604974 @default.
- W3197341519 creator A5047704023 @default.
- W3197341519 creator A5049449184 @default.
- W3197341519 creator A5054576459 @default.
- W3197341519 creator A5087650547 @default.
- W3197341519 date "2021-09-07" @default.
- W3197341519 modified "2023-10-16" @default.
- W3197341519 title "Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcare" @default.
- W3197341519 cites W1986075844 @default.
- W3197341519 cites W2162988176 @default.
- W3197341519 cites W2179384057 @default.
- W3197341519 cites W2565421149 @default.
- W3197341519 cites W2593193389 @default.
- W3197341519 cites W2741072280 @default.
- W3197341519 cites W2766931063 @default.
- W3197341519 cites W2894794416 @default.
- W3197341519 cites W3001897055 @default.
- W3197341519 cites W3003668884 @default.
- W3197341519 cites W3004906315 @default.
- W3197341519 cites W3005879071 @default.
- W3197341519 cites W3012817089 @default.
- W3197341519 cites W3017644243 @default.
- W3197341519 cites W3023594394 @default.
- W3197341519 cites W3028371645 @default.
- W3197341519 cites W3037538421 @default.
- W3197341519 cites W3041006163 @default.
- W3197341519 cites W3042316884 @default.
- W3197341519 cites W3043327973 @default.
- W3197341519 cites W3048860064 @default.
- W3197341519 cites W3081817842 @default.
- W3197341519 cites W3141047505 @default.
- W3197341519 cites W3143245897 @default.
- W3197341519 cites W4232356144 @default.
- W3197341519 cites W4251940270 @default.
- W3197341519 doi "https://doi.org/10.1007/s00530-021-00839-w" @default.
- W3197341519 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8421458" @default.
- W3197341519 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34511733" @default.
- W3197341519 hasPublicationYear "2021" @default.
- W3197341519 type Work @default.
- W3197341519 sameAs 3197341519 @default.
- W3197341519 citedByCount "3" @default.
- W3197341519 countsByYear W31973415192022 @default.
- W3197341519 crossrefType "journal-article" @default.
- W3197341519 hasAuthorship W3197341519A5018604974 @default.
- W3197341519 hasAuthorship W3197341519A5047704023 @default.
- W3197341519 hasAuthorship W3197341519A5049449184 @default.
- W3197341519 hasAuthorship W3197341519A5054576459 @default.
- W3197341519 hasAuthorship W3197341519A5087650547 @default.
- W3197341519 hasBestOaLocation W31973415191 @default.
- W3197341519 hasConcept C108583219 @default.
- W3197341519 hasConcept C119857082 @default.
- W3197341519 hasConcept C142724271 @default.
- W3197341519 hasConcept C154945302 @default.
- W3197341519 hasConcept C160735492 @default.
- W3197341519 hasConcept C162324750 @default.
- W3197341519 hasConcept C2779134260 @default.
- W3197341519 hasConcept C3008058167 @default.
- W3197341519 hasConcept C41008148 @default.
- W3197341519 hasConcept C50522688 @default.
- W3197341519 hasConcept C524204448 @default.
- W3197341519 hasConcept C71924100 @default.
- W3197341519 hasConceptScore W3197341519C108583219 @default.
- W3197341519 hasConceptScore W3197341519C119857082 @default.
- W3197341519 hasConceptScore W3197341519C142724271 @default.
- W3197341519 hasConceptScore W3197341519C154945302 @default.
- W3197341519 hasConceptScore W3197341519C160735492 @default.
- W3197341519 hasConceptScore W3197341519C162324750 @default.
- W3197341519 hasConceptScore W3197341519C2779134260 @default.
- W3197341519 hasConceptScore W3197341519C3008058167 @default.
- W3197341519 hasConceptScore W3197341519C41008148 @default.
- W3197341519 hasConceptScore W3197341519C50522688 @default.
- W3197341519 hasConceptScore W3197341519C524204448 @default.
- W3197341519 hasConceptScore W3197341519C71924100 @default.
- W3197341519 hasIssue "4" @default.
- W3197341519 hasLocation W31973415191 @default.
- W3197341519 hasLocation W31973415192 @default.
- W3197341519 hasLocation W31973415193 @default.
- W3197341519 hasOpenAccess W3197341519 @default.
- W3197341519 hasPrimaryLocation W31973415191 @default.
- W3197341519 hasRelatedWork W3014300295 @default.
- W3197341519 hasRelatedWork W3164822677 @default.
- W3197341519 hasRelatedWork W4223943233 @default.
- W3197341519 hasRelatedWork W4225161397 @default.
- W3197341519 hasRelatedWork W4250304930 @default.
- W3197341519 hasRelatedWork W4312200629 @default.
- W3197341519 hasRelatedWork W4360585206 @default.
- W3197341519 hasRelatedWork W4364306694 @default.
- W3197341519 hasRelatedWork W4380075502 @default.
- W3197341519 hasRelatedWork W4380086463 @default.
- W3197341519 hasVolume "28" @default.
- W3197341519 isParatext "false" @default.
- W3197341519 isRetracted "false" @default.
- W3197341519 magId "3197341519" @default.
- W3197341519 workType "article" @default.