Matches in SemOpenAlex for { <https://semopenalex.org/work/W4296322368> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W4296322368 endingPage "72" @default.
- W4296322368 startingPage "65" @default.
- W4296322368 abstract "A continuing outbreak of pneumonia-related disease novel, Coronavirus has been recorded worldwide and has become a global health problem. This research aims to generate a constructive training data set for a neural network to detect COVID-19 from X-ray images. The creation of medical images is an issue in the field of deep learning. Medical image datasets are frequently unbalanced; using such datasets to train a deep neural network model to correctly classify medical conditions typically leads to over-fitting the data on majority class samples. Data augmentation is commonly used in training data to expand the dataset. Data augmentation may not be beneficial in medical domains with limited data. This paper proposed a data generation model using a Deep Convolutional Generative adversarial network (DCGAN), which generates fake instances with comparable properties to the original data. The model's Fréchet Distance of Inception (FID) was 23.78, close to the original data. Deep transfer learning-based models VGG-16, Inceptionv3 and MobilNet, were chosen as the backbone for COVID-19 detection. The present study aims to increase the dataset using the DCGAN data augmentation technique to improve classifier performance." @default.
- W4296322368 created "2022-09-20" @default.
- W4296322368 creator A5029602694 @default.
- W4296322368 creator A5038471006 @default.
- W4296322368 creator A5060351689 @default.
- W4296322368 date "2022-01-01" @default.
- W4296322368 modified "2023-10-01" @default.
- W4296322368 title "A Novel COVID-19 Detection Model Based on DCGAN and Deep Transfer Learning" @default.
- W4296322368 cites W2078179989 @default.
- W4296322368 cites W2890139949 @default.
- W4296322368 cites W2910881901 @default.
- W4296322368 cites W3017855299 @default.
- W4296322368 cites W3023402713 @default.
- W4296322368 cites W3024801014 @default.
- W4296322368 cites W3031759249 @default.
- W4296322368 cites W3032510608 @default.
- W4296322368 cites W3047926930 @default.
- W4296322368 cites W3114434450 @default.
- W4296322368 cites W3140743785 @default.
- W4296322368 cites W3159001838 @default.
- W4296322368 doi "https://doi.org/10.1016/j.procs.2022.08.008" @default.
- W4296322368 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36120410" @default.
- W4296322368 hasPublicationYear "2022" @default.
- W4296322368 type Work @default.
- W4296322368 citedByCount "4" @default.
- W4296322368 countsByYear W42963223682022 @default.
- W4296322368 countsByYear W42963223682023 @default.
- W4296322368 crossrefType "journal-article" @default.
- W4296322368 hasAuthorship W4296322368A5029602694 @default.
- W4296322368 hasAuthorship W4296322368A5038471006 @default.
- W4296322368 hasAuthorship W4296322368A5060351689 @default.
- W4296322368 hasBestOaLocation W42963223681 @default.
- W4296322368 hasConcept C108583219 @default.
- W4296322368 hasConcept C119857082 @default.
- W4296322368 hasConcept C124101348 @default.
- W4296322368 hasConcept C142724271 @default.
- W4296322368 hasConcept C150899416 @default.
- W4296322368 hasConcept C153180895 @default.
- W4296322368 hasConcept C154945302 @default.
- W4296322368 hasConcept C2779134260 @default.
- W4296322368 hasConcept C3008058167 @default.
- W4296322368 hasConcept C41008148 @default.
- W4296322368 hasConcept C50644808 @default.
- W4296322368 hasConcept C51632099 @default.
- W4296322368 hasConcept C524204448 @default.
- W4296322368 hasConcept C58489278 @default.
- W4296322368 hasConcept C71924100 @default.
- W4296322368 hasConcept C81363708 @default.
- W4296322368 hasConcept C95623464 @default.
- W4296322368 hasConceptScore W4296322368C108583219 @default.
- W4296322368 hasConceptScore W4296322368C119857082 @default.
- W4296322368 hasConceptScore W4296322368C124101348 @default.
- W4296322368 hasConceptScore W4296322368C142724271 @default.
- W4296322368 hasConceptScore W4296322368C150899416 @default.
- W4296322368 hasConceptScore W4296322368C153180895 @default.
- W4296322368 hasConceptScore W4296322368C154945302 @default.
- W4296322368 hasConceptScore W4296322368C2779134260 @default.
- W4296322368 hasConceptScore W4296322368C3008058167 @default.
- W4296322368 hasConceptScore W4296322368C41008148 @default.
- W4296322368 hasConceptScore W4296322368C50644808 @default.
- W4296322368 hasConceptScore W4296322368C51632099 @default.
- W4296322368 hasConceptScore W4296322368C524204448 @default.
- W4296322368 hasConceptScore W4296322368C58489278 @default.
- W4296322368 hasConceptScore W4296322368C71924100 @default.
- W4296322368 hasConceptScore W4296322368C81363708 @default.
- W4296322368 hasConceptScore W4296322368C95623464 @default.
- W4296322368 hasLocation W42963223681 @default.
- W4296322368 hasLocation W42963223682 @default.
- W4296322368 hasLocation W42963223683 @default.
- W4296322368 hasOpenAccess W4296322368 @default.
- W4296322368 hasPrimaryLocation W42963223681 @default.
- W4296322368 hasRelatedWork W2996856019 @default.
- W4296322368 hasRelatedWork W3012459282 @default.
- W4296322368 hasRelatedWork W3018421652 @default.
- W4296322368 hasRelatedWork W3021430260 @default.
- W4296322368 hasRelatedWork W3091976719 @default.
- W4296322368 hasRelatedWork W3192840557 @default.
- W4296322368 hasRelatedWork W4220996320 @default.
- W4296322368 hasRelatedWork W4285149559 @default.
- W4296322368 hasRelatedWork W4312200629 @default.
- W4296322368 hasRelatedWork W4382286161 @default.
- W4296322368 hasVolume "204" @default.
- W4296322368 isParatext "false" @default.
- W4296322368 isRetracted "false" @default.
- W4296322368 workType "article" @default.