Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387364260> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4387364260 abstract "Abstract Medical imaging has advanced to the extent that conditions including stomach ulcers, bleeding, and polyps can be diagnosed using video endoscopy. It takes a lot of time for doctors to follow up on all the images produced by medical video endoscopy. This complicates the use of labor. Automated diagnosis through computer aided approaches to analyze all the resulting images rapidly and accurately. The proposed methodology is innovative in that it seeks to create a system for diagnosing gastrointestinal disorders. The images that are sent into the deep learning networks have all been improved and have had the noise removed. The 5000 images in the Kvasir dataset are evenly split between five different categories affecting the digestive tract: dye-lifted polyps, dyed resection margins, normal cecum, polyps, and ulcerative coliti. Five finely tuned deep convolutional neural network architectures (Xception, ResNet-101, VGG-19, EfficientNetB2v3, and MobineNetV2) with weights from the ImageNet dataset. EffecientNetV2B3 outperformed and achieved accuracy of 96.0%." @default.
- W4387364260 created "2023-10-06" @default.
- W4387364260 creator A5069966191 @default.
- W4387364260 creator A5072598644 @default.
- W4387364260 creator A5076867244 @default.
- W4387364260 creator A5087630623 @default.
- W4387364260 creator A5089513674 @default.
- W4387364260 date "2023-10-05" @default.
- W4387364260 modified "2023-10-06" @default.
- W4387364260 title "Computer-Aided Polyps Classification from Colonoscopy Using Deep Learning Models" @default.
- W4387364260 cites W1567577094 @default.
- W4387364260 cites W1757407923 @default.
- W4387364260 cites W1974923150 @default.
- W4387364260 cites W2033310064 @default.
- W4387364260 cites W2140753590 @default.
- W4387364260 cites W2146302903 @default.
- W4387364260 cites W2162498245 @default.
- W4387364260 cites W2783201053 @default.
- W4387364260 cites W2915754718 @default.
- W4387364260 cites W2922240490 @default.
- W4387364260 cites W2954996726 @default.
- W4387364260 cites W2981861180 @default.
- W4387364260 cites W3041553411 @default.
- W4387364260 cites W3088047400 @default.
- W4387364260 cites W3096410047 @default.
- W4387364260 cites W3155522021 @default.
- W4387364260 cites W3198698397 @default.
- W4387364260 cites W4224124267 @default.
- W4387364260 cites W4224491658 @default.
- W4387364260 doi "https://doi.org/10.21203/rs.3.rs-3393703/v1" @default.
- W4387364260 hasPublicationYear "2023" @default.
- W4387364260 type Work @default.
- W4387364260 citedByCount "0" @default.
- W4387364260 crossrefType "posted-content" @default.
- W4387364260 hasAuthorship W4387364260A5069966191 @default.
- W4387364260 hasAuthorship W4387364260A5072598644 @default.
- W4387364260 hasAuthorship W4387364260A5076867244 @default.
- W4387364260 hasAuthorship W4387364260A5087630623 @default.
- W4387364260 hasAuthorship W4387364260A5089513674 @default.
- W4387364260 hasBestOaLocation W43873642601 @default.
- W4387364260 hasConcept C108583219 @default.
- W4387364260 hasConcept C121608353 @default.
- W4387364260 hasConcept C126322002 @default.
- W4387364260 hasConcept C153180895 @default.
- W4387364260 hasConcept C154945302 @default.
- W4387364260 hasConcept C2778435480 @default.
- W4387364260 hasConcept C31972630 @default.
- W4387364260 hasConcept C41008148 @default.
- W4387364260 hasConcept C526805850 @default.
- W4387364260 hasConcept C71924100 @default.
- W4387364260 hasConcept C81363708 @default.
- W4387364260 hasConceptScore W4387364260C108583219 @default.
- W4387364260 hasConceptScore W4387364260C121608353 @default.
- W4387364260 hasConceptScore W4387364260C126322002 @default.
- W4387364260 hasConceptScore W4387364260C153180895 @default.
- W4387364260 hasConceptScore W4387364260C154945302 @default.
- W4387364260 hasConceptScore W4387364260C2778435480 @default.
- W4387364260 hasConceptScore W4387364260C31972630 @default.
- W4387364260 hasConceptScore W4387364260C41008148 @default.
- W4387364260 hasConceptScore W4387364260C526805850 @default.
- W4387364260 hasConceptScore W4387364260C71924100 @default.
- W4387364260 hasConceptScore W4387364260C81363708 @default.
- W4387364260 hasLocation W43873642601 @default.
- W4387364260 hasOpenAccess W4387364260 @default.
- W4387364260 hasPrimaryLocation W43873642601 @default.
- W4387364260 hasRelatedWork W2381279477 @default.
- W4387364260 hasRelatedWork W2999920852 @default.
- W4387364260 hasRelatedWork W3016587774 @default.
- W4387364260 hasRelatedWork W3028983594 @default.
- W4387364260 hasRelatedWork W3029198973 @default.
- W4387364260 hasRelatedWork W3133861977 @default.
- W4387364260 hasRelatedWork W3167935049 @default.
- W4387364260 hasRelatedWork W3193565141 @default.
- W4387364260 hasRelatedWork W4226493464 @default.
- W4387364260 hasRelatedWork W4312417841 @default.
- W4387364260 isParatext "false" @default.
- W4387364260 isRetracted "false" @default.
- W4387364260 workType "article" @default.