Matches in SemOpenAlex for { <https://semopenalex.org/work/W2056534510> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2056534510 endingPage "80" @default.
- W2056534510 startingPage "71" @default.
- W2056534510 abstract "Abstract Automatic detection of retinal blood vessels and measurement of vessel diameter are important steps in the computer aided diagnosis in ophthalmology. Here, we present a new multi-scale vessel enhancement method based on complex continuous wavelet transform (CCWT). The parameters of CCWT are optimized to represent line structures in all directions and separate them from simple edges. The final vessel network is obtained by applying an adaptive histogram-based thresholding process along with a proper length filtering method. An efficient circular structure operator is employed on the centerline of vessels to estimate their diameters. The performance of the proposed method is measured on the publicly available DRIVE and STARE databases and compared with several state-of-the-art methods as well as second observer. The proposed method shows much higher accuracy (95%) and sensitivity (79%) in the same range of specificity (97%). The predictive value of it is higher than 72.9%. The vessel diameter estimation process also shows lower root mean square error compared to the existing methods and second observer." @default.
- W2056534510 created "2016-06-24" @default.
- W2056534510 creator A5023842961 @default.
- W2056534510 creator A5057450178 @default.
- W2056534510 date "2013-01-01" @default.
- W2056534510 modified "2023-10-05" @default.
- W2056534510 title "Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation" @default.
- W2056534510 cites W1967002721 @default.
- W2056534510 cites W2006663170 @default.
- W2056534510 cites W2031759729 @default.
- W2056534510 cites W2036594540 @default.
- W2056534510 cites W2044880603 @default.
- W2056534510 cites W2051578148 @default.
- W2056534510 cites W2055637683 @default.
- W2056534510 cites W2056114950 @default.
- W2056534510 cites W2078239496 @default.
- W2056534510 cites W2104195344 @default.
- W2056534510 cites W2105685332 @default.
- W2056534510 cites W2108764134 @default.
- W2056534510 cites W2112783556 @default.
- W2056534510 cites W2113480316 @default.
- W2056534510 cites W2115680416 @default.
- W2056534510 cites W2116628223 @default.
- W2056534510 cites W2119399382 @default.
- W2056534510 cites W2127302541 @default.
- W2056534510 cites W2140776918 @default.
- W2056534510 cites W2145305441 @default.
- W2056534510 cites W2148284840 @default.
- W2056534510 cites W2148466289 @default.
- W2056534510 cites W2150769593 @default.
- W2056534510 cites W2158940042 @default.
- W2056534510 cites W2163344010 @default.
- W2056534510 cites W2166524747 @default.
- W2056534510 cites W2170092083 @default.
- W2056534510 doi "https://doi.org/10.1016/j.bspc.2012.05.005" @default.
- W2056534510 hasPublicationYear "2013" @default.
- W2056534510 type Work @default.
- W2056534510 sameAs 2056534510 @default.
- W2056534510 citedByCount "88" @default.
- W2056534510 countsByYear W20565345102012 @default.
- W2056534510 countsByYear W20565345102013 @default.
- W2056534510 countsByYear W20565345102014 @default.
- W2056534510 countsByYear W20565345102015 @default.
- W2056534510 countsByYear W20565345102016 @default.
- W2056534510 countsByYear W20565345102017 @default.
- W2056534510 countsByYear W20565345102018 @default.
- W2056534510 countsByYear W20565345102019 @default.
- W2056534510 countsByYear W20565345102020 @default.
- W2056534510 countsByYear W20565345102021 @default.
- W2056534510 countsByYear W20565345102022 @default.
- W2056534510 countsByYear W20565345102023 @default.
- W2056534510 crossrefType "journal-article" @default.
- W2056534510 hasAuthorship W2056534510A5023842961 @default.
- W2056534510 hasAuthorship W2056534510A5057450178 @default.
- W2056534510 hasConcept C118487528 @default.
- W2056534510 hasConcept C118552586 @default.
- W2056534510 hasConcept C153180895 @default.
- W2056534510 hasConcept C154945302 @default.
- W2056534510 hasConcept C2777663904 @default.
- W2056534510 hasConcept C2780827179 @default.
- W2056534510 hasConcept C31972630 @default.
- W2056534510 hasConcept C41008148 @default.
- W2056534510 hasConcept C47432892 @default.
- W2056534510 hasConcept C71924100 @default.
- W2056534510 hasConcept C89600930 @default.
- W2056534510 hasConceptScore W2056534510C118487528 @default.
- W2056534510 hasConceptScore W2056534510C118552586 @default.
- W2056534510 hasConceptScore W2056534510C153180895 @default.
- W2056534510 hasConceptScore W2056534510C154945302 @default.
- W2056534510 hasConceptScore W2056534510C2777663904 @default.
- W2056534510 hasConceptScore W2056534510C2780827179 @default.
- W2056534510 hasConceptScore W2056534510C31972630 @default.
- W2056534510 hasConceptScore W2056534510C41008148 @default.
- W2056534510 hasConceptScore W2056534510C47432892 @default.
- W2056534510 hasConceptScore W2056534510C71924100 @default.
- W2056534510 hasConceptScore W2056534510C89600930 @default.
- W2056534510 hasIssue "1" @default.
- W2056534510 hasLocation W20565345101 @default.
- W2056534510 hasOpenAccess W2056534510 @default.
- W2056534510 hasPrimaryLocation W20565345101 @default.
- W2056534510 hasRelatedWork W1669643531 @default.
- W2056534510 hasRelatedWork W2005437358 @default.
- W2056534510 hasRelatedWork W2008656436 @default.
- W2056534510 hasRelatedWork W2023558673 @default.
- W2056534510 hasRelatedWork W2039154422 @default.
- W2056534510 hasRelatedWork W2122581818 @default.
- W2056534510 hasRelatedWork W2134924024 @default.
- W2056534510 hasRelatedWork W2517104666 @default.
- W2056534510 hasRelatedWork W2895616727 @default.
- W2056534510 hasRelatedWork W2182382398 @default.
- W2056534510 hasVolume "8" @default.
- W2056534510 isParatext "false" @default.
- W2056534510 isRetracted "false" @default.
- W2056534510 magId "2056534510" @default.
- W2056534510 workType "article" @default.