Matches in SemOpenAlex for { <https://semopenalex.org/work/W2766486317> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2766486317 endingPage "450" @default.
- W2766486317 startingPage "441" @default.
- W2766486317 abstract "In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing approach. For evaluation, 89 chest CT cases were sampled from The Cancer Imaging Archive. The 89 CT cases were divided randomly into 45 training cases and 44 external test cases. The SRCNN was trained using the training dataset. With the trained SRCNN, a high-resolution image was reconstructed from a low-resolution image, which was down-sampled from an original test image. For quantitative evaluation, two image quality metrics were measured and compared to those of the conventional linear interpolation methods. The image restoration quality of the SRCNN scheme was significantly higher than that of the linear interpolation methods (p < 0.001 or p < 0.05). The high-resolution image reconstructed by the SRCNN scheme was highly restored and comparable to the original reference image, in particular, for a ×2 magnification. These results indicate that the SRCNN scheme significantly outperforms the linear interpolation methods for enhancing image resolution in chest CT images. The results also suggest that SRCNN may become a potential solution for generating high-resolution CT images from standard CT images." @default.
- W2766486317 created "2017-11-10" @default.
- W2766486317 creator A5011703796 @default.
- W2766486317 creator A5059547798 @default.
- W2766486317 creator A5078738122 @default.
- W2766486317 date "2017-10-18" @default.
- W2766486317 modified "2023-10-05" @default.
- W2766486317 title "Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT" @default.
- W2766486317 cites W1885185971 @default.
- W2766486317 cites W1987138744 @default.
- W2766486317 cites W2001551406 @default.
- W2766486317 cites W2050220950 @default.
- W2766486317 cites W2053186076 @default.
- W2766486317 cites W2063468093 @default.
- W2766486317 cites W2063562930 @default.
- W2766486317 cites W2067042811 @default.
- W2766486317 cites W2083927153 @default.
- W2766486317 cites W2103004421 @default.
- W2766486317 cites W2114770744 @default.
- W2766486317 cites W2121058967 @default.
- W2766486317 cites W2125382552 @default.
- W2766486317 cites W2133665775 @default.
- W2766486317 cites W2148417427 @default.
- W2766486317 cites W2150081556 @default.
- W2766486317 cites W2514523314 @default.
- W2766486317 cites W2591928337 @default.
- W2766486317 cites W2594218916 @default.
- W2766486317 cites W2756270671 @default.
- W2766486317 cites W4300583560 @default.
- W2766486317 cites W54257720 @default.
- W2766486317 doi "https://doi.org/10.1007/s10278-017-0033-z" @default.
- W2766486317 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6113156" @default.
- W2766486317 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29047035" @default.
- W2766486317 hasPublicationYear "2017" @default.
- W2766486317 type Work @default.
- W2766486317 sameAs 2766486317 @default.
- W2766486317 citedByCount "119" @default.
- W2766486317 countsByYear W27664863172018 @default.
- W2766486317 countsByYear W27664863172019 @default.
- W2766486317 countsByYear W27664863172020 @default.
- W2766486317 countsByYear W27664863172021 @default.
- W2766486317 countsByYear W27664863172022 @default.
- W2766486317 countsByYear W27664863172023 @default.
- W2766486317 crossrefType "journal-article" @default.
- W2766486317 hasAuthorship W2766486317A5011703796 @default.
- W2766486317 hasAuthorship W2766486317A5059547798 @default.
- W2766486317 hasAuthorship W2766486317A5078738122 @default.
- W2766486317 hasBestOaLocation W27664863172 @default.
- W2766486317 hasConcept C115961682 @default.
- W2766486317 hasConcept C137800194 @default.
- W2766486317 hasConcept C153180895 @default.
- W2766486317 hasConcept C154945302 @default.
- W2766486317 hasConcept C171836373 @default.
- W2766486317 hasConcept C180462255 @default.
- W2766486317 hasConcept C205372480 @default.
- W2766486317 hasConcept C27405340 @default.
- W2766486317 hasConcept C31972630 @default.
- W2766486317 hasConcept C41008148 @default.
- W2766486317 hasConcept C4144372 @default.
- W2766486317 hasConcept C55020928 @default.
- W2766486317 hasConcept C81363708 @default.
- W2766486317 hasConcept C9417928 @default.
- W2766486317 hasConceptScore W2766486317C115961682 @default.
- W2766486317 hasConceptScore W2766486317C137800194 @default.
- W2766486317 hasConceptScore W2766486317C153180895 @default.
- W2766486317 hasConceptScore W2766486317C154945302 @default.
- W2766486317 hasConceptScore W2766486317C171836373 @default.
- W2766486317 hasConceptScore W2766486317C180462255 @default.
- W2766486317 hasConceptScore W2766486317C205372480 @default.
- W2766486317 hasConceptScore W2766486317C27405340 @default.
- W2766486317 hasConceptScore W2766486317C31972630 @default.
- W2766486317 hasConceptScore W2766486317C41008148 @default.
- W2766486317 hasConceptScore W2766486317C4144372 @default.
- W2766486317 hasConceptScore W2766486317C55020928 @default.
- W2766486317 hasConceptScore W2766486317C81363708 @default.
- W2766486317 hasConceptScore W2766486317C9417928 @default.
- W2766486317 hasIssue "4" @default.
- W2766486317 hasLocation W27664863171 @default.
- W2766486317 hasLocation W27664863172 @default.
- W2766486317 hasLocation W27664863173 @default.
- W2766486317 hasLocation W27664863174 @default.
- W2766486317 hasOpenAccess W2766486317 @default.
- W2766486317 hasPrimaryLocation W27664863171 @default.
- W2766486317 hasRelatedWork W1537467751 @default.
- W2766486317 hasRelatedWork W1990470239 @default.
- W2766486317 hasRelatedWork W2027365488 @default.
- W2766486317 hasRelatedWork W2058577233 @default.
- W2766486317 hasRelatedWork W2248086935 @default.
- W2766486317 hasRelatedWork W2354834784 @default.
- W2766486317 hasRelatedWork W2574052219 @default.
- W2766486317 hasRelatedWork W2766486317 @default.
- W2766486317 hasRelatedWork W3139514066 @default.
- W2766486317 hasRelatedWork W2168060518 @default.
- W2766486317 hasVolume "31" @default.
- W2766486317 isParatext "false" @default.
- W2766486317 isRetracted "false" @default.
- W2766486317 magId "2766486317" @default.
- W2766486317 workType "article" @default.