Matches in SemOpenAlex for { <https://semopenalex.org/work/W3132191701> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3132191701 endingPage "928" @default.
- W3132191701 startingPage "924" @default.
- W3132191701 abstract "The latest World Health Organization (WHO) study in 2018 shows that about 1.5 million people died and around 10 million people are infected with tuberculosis (TBC) each year. Moreover, more than 4,000 people die every day from TBC. Important work can be found in automating the diagnosis by applying techniques of deep learning (DL) to the medical image. DL requires a large number of high-quality training samples to reach better performance. Due to the low contrast of TBC x-ray images, the image obtained is poor in quality. Our work assesses the effect of image enhancement on the performance of the DL technique based on this problem. An image enhancement algorithm will highlight the overall or local characteristics of the images, and highlight some interesting features. Specifically, an image enhancement algorithm called Unsharp Masking (UM), is evaluated. The enhanced image samples are then fed to the pre-trained ResNet model for transfer learning. In a TB image dataset, we achieve 88.69% and 96.15% of classification accuracy and AUC scores, respectively. All the results are obtained using the Shenzhen dataset which is available in the public domain." @default.
- W3132191701 created "2021-03-01" @default.
- W3132191701 creator A5003795214 @default.
- W3132191701 creator A5008682160 @default.
- W3132191701 creator A5034941338 @default.
- W3132191701 creator A5045022467 @default.
- W3132191701 creator A5071294454 @default.
- W3132191701 creator A5089411412 @default.
- W3132191701 date "2020-12-07" @default.
- W3132191701 modified "2023-10-12" @default.
- W3132191701 title "Performance Evaluation of Binary Classification of Tuberculosis through Unsharp Masking and Deep Learning Technique" @default.
- W3132191701 hasPublicationYear "2020" @default.
- W3132191701 type Work @default.
- W3132191701 sameAs 3132191701 @default.
- W3132191701 citedByCount "0" @default.
- W3132191701 crossrefType "proceedings-article" @default.
- W3132191701 hasAuthorship W3132191701A5003795214 @default.
- W3132191701 hasAuthorship W3132191701A5008682160 @default.
- W3132191701 hasAuthorship W3132191701A5034941338 @default.
- W3132191701 hasAuthorship W3132191701A5045022467 @default.
- W3132191701 hasAuthorship W3132191701A5071294454 @default.
- W3132191701 hasAuthorship W3132191701A5089411412 @default.
- W3132191701 hasConcept C108583219 @default.
- W3132191701 hasConcept C115961682 @default.
- W3132191701 hasConcept C119857082 @default.
- W3132191701 hasConcept C142362112 @default.
- W3132191701 hasConcept C150899416 @default.
- W3132191701 hasConcept C153180895 @default.
- W3132191701 hasConcept C153349607 @default.
- W3132191701 hasConcept C154945302 @default.
- W3132191701 hasConcept C2777402240 @default.
- W3132191701 hasConcept C3017601658 @default.
- W3132191701 hasConcept C31972630 @default.
- W3132191701 hasConcept C41008148 @default.
- W3132191701 hasConcept C55020928 @default.
- W3132191701 hasConcept C79052406 @default.
- W3132191701 hasConceptScore W3132191701C108583219 @default.
- W3132191701 hasConceptScore W3132191701C115961682 @default.
- W3132191701 hasConceptScore W3132191701C119857082 @default.
- W3132191701 hasConceptScore W3132191701C142362112 @default.
- W3132191701 hasConceptScore W3132191701C150899416 @default.
- W3132191701 hasConceptScore W3132191701C153180895 @default.
- W3132191701 hasConceptScore W3132191701C153349607 @default.
- W3132191701 hasConceptScore W3132191701C154945302 @default.
- W3132191701 hasConceptScore W3132191701C2777402240 @default.
- W3132191701 hasConceptScore W3132191701C3017601658 @default.
- W3132191701 hasConceptScore W3132191701C31972630 @default.
- W3132191701 hasConceptScore W3132191701C41008148 @default.
- W3132191701 hasConceptScore W3132191701C55020928 @default.
- W3132191701 hasConceptScore W3132191701C79052406 @default.
- W3132191701 hasLocation W31321917011 @default.
- W3132191701 hasOpenAccess W3132191701 @default.
- W3132191701 hasPrimaryLocation W31321917011 @default.
- W3132191701 hasRelatedWork W1472175323 @default.
- W3132191701 hasRelatedWork W1965952683 @default.
- W3132191701 hasRelatedWork W2162915697 @default.
- W3132191701 hasRelatedWork W2164450150 @default.
- W3132191701 hasRelatedWork W2351975773 @default.
- W3132191701 hasRelatedWork W2529544471 @default.
- W3132191701 hasRelatedWork W2529550679 @default.
- W3132191701 hasRelatedWork W2594112328 @default.
- W3132191701 hasRelatedWork W2622863676 @default.
- W3132191701 hasRelatedWork W2774945228 @default.
- W3132191701 hasRelatedWork W2775698928 @default.
- W3132191701 hasRelatedWork W2782957993 @default.
- W3132191701 hasRelatedWork W2794112396 @default.
- W3132191701 hasRelatedWork W3011210166 @default.
- W3132191701 hasRelatedWork W3036889868 @default.
- W3132191701 hasRelatedWork W3133968084 @default.
- W3132191701 hasRelatedWork W3136431771 @default.
- W3132191701 hasRelatedWork W3184426890 @default.
- W3132191701 hasRelatedWork W3197245072 @default.
- W3132191701 hasRelatedWork W3202735486 @default.
- W3132191701 isParatext "false" @default.
- W3132191701 isRetracted "false" @default.
- W3132191701 magId "3132191701" @default.
- W3132191701 workType "article" @default.