Matches in SemOpenAlex for { <https://semopenalex.org/work/W2129288522> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2129288522 endingPage "1203" @default.
- W2129288522 startingPage "1185" @default.
- W2129288522 abstract "Retinal microaneurysm is one of the earliest signs in diabetic retinopathy diagnosis. This paper has developed an approach to automate the detection of microaneurysms using wavelet-based Gaussian mixture model and microstructure texture feature extraction. First, the green channel of the colour retinal fundus image is extracted and pre-processed using various enhancement techniques such as bottom-hat filtering and gamma correction. Second, microstructures are extracted as Gaussian profiles in wavelet domain using the three-level generative model. Multi-scale Gaussian kernels are obtained and histogram-based features are extracted from the best kernel. Using the Markov Chain Monte Carlo method, microaneurysms are classified using the optimal feature set. The proposed approach is experimented with DIARETDB0 and DIARETDB1 datasets using a classifier based on multilayer perceptron procedure. For DIARETDB0 dataset, the proposed algorithm obtains the results with a sensitivity of 98.32 and specificity of 97.59. In the case of DIARETDB1 dataset, the sensitivity and specificity of 98.91 and 97.65 have been achieved. The accuracies achieved by the proposed algorithm are 97.86 and 98.33 using DIARETDB0 and DIARETDB1 datasets respectively. Based on ground truth validation, good segmentation results are achieved when compared to existing algorithms such as local relative entropy-based thresholding, inverse adaptive surface thresholding, inverse segmentation method, and dark object segmentation." @default.
- W2129288522 created "2016-06-24" @default.
- W2129288522 creator A5014053936 @default.
- W2129288522 creator A5032432317 @default.
- W2129288522 date "2015-06-01" @default.
- W2129288522 modified "2023-09-25" @default.
- W2129288522 title "Automatic detection of microaneurysms using microstructure and wavelet methods" @default.
- W2129288522 cites W1982761740 @default.
- W2129288522 cites W1991678930 @default.
- W2129288522 cites W1996151979 @default.
- W2129288522 cites W2015271030 @default.
- W2129288522 cites W2015389221 @default.
- W2129288522 cites W2021586830 @default.
- W2129288522 cites W2060749088 @default.
- W2129288522 cites W2074883517 @default.
- W2129288522 cites W2083158334 @default.
- W2129288522 cites W2084318809 @default.
- W2129288522 cites W2089969656 @default.
- W2129288522 cites W2114437950 @default.
- W2129288522 cites W2121703462 @default.
- W2129288522 cites W2130054905 @default.
- W2129288522 cites W2161342819 @default.
- W2129288522 cites W3105672136 @default.
- W2129288522 doi "https://doi.org/10.1007/s12046-015-0353-y" @default.
- W2129288522 hasPublicationYear "2015" @default.
- W2129288522 type Work @default.
- W2129288522 sameAs 2129288522 @default.
- W2129288522 citedByCount "9" @default.
- W2129288522 countsByYear W21292885222016 @default.
- W2129288522 countsByYear W21292885222018 @default.
- W2129288522 countsByYear W21292885222019 @default.
- W2129288522 countsByYear W21292885222020 @default.
- W2129288522 countsByYear W21292885222021 @default.
- W2129288522 crossrefType "journal-article" @default.
- W2129288522 hasAuthorship W2129288522A5014053936 @default.
- W2129288522 hasAuthorship W2129288522A5032432317 @default.
- W2129288522 hasBestOaLocation W21292885222 @default.
- W2129288522 hasConcept C115961682 @default.
- W2129288522 hasConcept C136943445 @default.
- W2129288522 hasConcept C153180895 @default.
- W2129288522 hasConcept C154945302 @default.
- W2129288522 hasConcept C191178318 @default.
- W2129288522 hasConcept C30387639 @default.
- W2129288522 hasConcept C41008148 @default.
- W2129288522 hasConcept C47432892 @default.
- W2129288522 hasConcept C53533937 @default.
- W2129288522 hasConcept C89600930 @default.
- W2129288522 hasConceptScore W2129288522C115961682 @default.
- W2129288522 hasConceptScore W2129288522C136943445 @default.
- W2129288522 hasConceptScore W2129288522C153180895 @default.
- W2129288522 hasConceptScore W2129288522C154945302 @default.
- W2129288522 hasConceptScore W2129288522C191178318 @default.
- W2129288522 hasConceptScore W2129288522C30387639 @default.
- W2129288522 hasConceptScore W2129288522C41008148 @default.
- W2129288522 hasConceptScore W2129288522C47432892 @default.
- W2129288522 hasConceptScore W2129288522C53533937 @default.
- W2129288522 hasConceptScore W2129288522C89600930 @default.
- W2129288522 hasIssue "4" @default.
- W2129288522 hasLocation W21292885221 @default.
- W2129288522 hasLocation W21292885222 @default.
- W2129288522 hasOpenAccess W2129288522 @default.
- W2129288522 hasPrimaryLocation W21292885221 @default.
- W2129288522 hasRelatedWork W1983610137 @default.
- W2129288522 hasRelatedWork W2016283592 @default.
- W2129288522 hasRelatedWork W2052253960 @default.
- W2129288522 hasRelatedWork W2126436357 @default.
- W2129288522 hasRelatedWork W2135219050 @default.
- W2129288522 hasRelatedWork W2163884840 @default.
- W2129288522 hasRelatedWork W2411367154 @default.
- W2129288522 hasRelatedWork W2600871208 @default.
- W2129288522 hasRelatedWork W2754350655 @default.
- W2129288522 hasRelatedWork W2900829073 @default.
- W2129288522 hasVolume "40" @default.
- W2129288522 isParatext "false" @default.
- W2129288522 isRetracted "false" @default.
- W2129288522 magId "2129288522" @default.
- W2129288522 workType "article" @default.