Matches in SemOpenAlex for { <https://semopenalex.org/work/W1623907327> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W1623907327 endingPage "1073" @default.
- W1623907327 startingPage "1064" @default.
- W1623907327 abstract "This paper present a segmentation of vertebral bodies from spinal MR images based on neighborhood informa- tion Gauss weighted and local contraction. First use a cut-off window (5�5) around each pixel and stack the gray values inside the window into a vector, adopt the Gaussian kernel function to incorporate local spatial information, an adaptive local scaling parameter is used to refine the segmentation rather than a fixed scaling parameter to avoid the manually tuned parameter. Finally, the built affinity is introduced into the segmentation process by using a graph-based method to achieve the complete target. Extensively experiments show that the present method can segment the vertebral bodies smoothly and clearly, and it has stronger anti-noise property and higher segmentation precision than the conventional methods. The robust and accurate result of segmentation should serve image registration and the analysis of spinal de- formities. It is a general method for segmenting object that can develop to segment other tissues and organs." @default.
- W1623907327 created "2016-06-24" @default.
- W1623907327 creator A5040895169 @default.
- W1623907327 creator A5044314813 @default.
- W1623907327 creator A5091793357 @default.
- W1623907327 date "2015-09-10" @default.
- W1623907327 modified "2023-09-24" @default.
- W1623907327 title "Research on Segmentation of Vertebral Bodies from Spinal MR Images based on Gauss Weighted and Local Contraction" @default.
- W1623907327 cites W1979158789 @default.
- W1623907327 cites W1982458622 @default.
- W1623907327 cites W2009767800 @default.
- W1623907327 cites W2090440060 @default.
- W1623907327 cites W2097476588 @default.
- W1623907327 cites W2101608218 @default.
- W1623907327 cites W2121578625 @default.
- W1623907327 cites W2152322845 @default.
- W1623907327 cites W2166730639 @default.
- W1623907327 cites W2170036364 @default.
- W1623907327 cites W2320489824 @default.
- W1623907327 doi "https://doi.org/10.2174/1874110x01509011064" @default.
- W1623907327 hasPublicationYear "2015" @default.
- W1623907327 type Work @default.
- W1623907327 sameAs 1623907327 @default.
- W1623907327 citedByCount "0" @default.
- W1623907327 crossrefType "journal-article" @default.
- W1623907327 hasAuthorship W1623907327A5040895169 @default.
- W1623907327 hasAuthorship W1623907327A5044314813 @default.
- W1623907327 hasAuthorship W1623907327A5091793357 @default.
- W1623907327 hasBestOaLocation W16239073271 @default.
- W1623907327 hasConcept C121332964 @default.
- W1623907327 hasConcept C124504099 @default.
- W1623907327 hasConcept C153180895 @default.
- W1623907327 hasConcept C154945302 @default.
- W1623907327 hasConcept C160633673 @default.
- W1623907327 hasConcept C161794534 @default.
- W1623907327 hasConcept C31972630 @default.
- W1623907327 hasConcept C33923547 @default.
- W1623907327 hasConcept C41008148 @default.
- W1623907327 hasConcept C62520636 @default.
- W1623907327 hasConcept C65885262 @default.
- W1623907327 hasConcept C89600930 @default.
- W1623907327 hasConceptScore W1623907327C121332964 @default.
- W1623907327 hasConceptScore W1623907327C124504099 @default.
- W1623907327 hasConceptScore W1623907327C153180895 @default.
- W1623907327 hasConceptScore W1623907327C154945302 @default.
- W1623907327 hasConceptScore W1623907327C160633673 @default.
- W1623907327 hasConceptScore W1623907327C161794534 @default.
- W1623907327 hasConceptScore W1623907327C31972630 @default.
- W1623907327 hasConceptScore W1623907327C33923547 @default.
- W1623907327 hasConceptScore W1623907327C41008148 @default.
- W1623907327 hasConceptScore W1623907327C62520636 @default.
- W1623907327 hasConceptScore W1623907327C65885262 @default.
- W1623907327 hasConceptScore W1623907327C89600930 @default.
- W1623907327 hasIssue "1" @default.
- W1623907327 hasLocation W16239073271 @default.
- W1623907327 hasOpenAccess W1623907327 @default.
- W1623907327 hasPrimaryLocation W16239073271 @default.
- W1623907327 hasRelatedWork W140376325 @default.
- W1623907327 hasRelatedWork W1604257889 @default.
- W1623907327 hasRelatedWork W1999254046 @default.
- W1623907327 hasRelatedWork W2037572225 @default.
- W1623907327 hasRelatedWork W2038085285 @default.
- W1623907327 hasRelatedWork W2065812187 @default.
- W1623907327 hasRelatedWork W2101574429 @default.
- W1623907327 hasRelatedWork W2114227208 @default.
- W1623907327 hasRelatedWork W2120144904 @default.
- W1623907327 hasRelatedWork W2183713294 @default.
- W1623907327 hasRelatedWork W2329749360 @default.
- W1623907327 hasRelatedWork W2350930282 @default.
- W1623907327 hasRelatedWork W2352706282 @default.
- W1623907327 hasRelatedWork W2377757234 @default.
- W1623907327 hasRelatedWork W2978489450 @default.
- W1623907327 hasRelatedWork W2999439249 @default.
- W1623907327 hasRelatedWork W3128973721 @default.
- W1623907327 hasRelatedWork W2812589611 @default.
- W1623907327 hasRelatedWork W2930676130 @default.
- W1623907327 hasRelatedWork W2965814524 @default.
- W1623907327 hasVolume "9" @default.
- W1623907327 isParatext "false" @default.
- W1623907327 isRetracted "false" @default.
- W1623907327 magId "1623907327" @default.
- W1623907327 workType "article" @default.