Matches in SemOpenAlex for { <https://semopenalex.org/work/W1590113844> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W1590113844 abstract "Segmentation of low contrast objects is an important task in clinical applications like lesion analysis and vascular wall remodeling analysis. Several solutions to low contrast segmentation that exploit high-level information have been previously proposed, such as shape priors and generative models. In this work, we incorporate a priori distributions of intensity and low-level image information into a nonparametric dissimilarity measure that defines a local indicator function for the likelihood of belonging to a foreground object. We then integrate the indicator function into a level set formulation for segmenting low contrast structures. We apply the technique to the clinical problem of positive remodeling of the vessel wall in cardiac CT angiography images. We present results on a dataset of twenty five patient scans, showing improvement over conventional gradient-based level sets." @default.
- W1590113844 created "2016-06-24" @default.
- W1590113844 creator A5008530493 @default.
- W1590113844 creator A5027282999 @default.
- W1590113844 creator A5049825346 @default.
- W1590113844 creator A5062305239 @default.
- W1590113844 creator A5074243216 @default.
- W1590113844 date "2009-01-01" @default.
- W1590113844 modified "2023-09-24" @default.
- W1590113844 title "Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures" @default.
- W1590113844 cites W1523554224 @default.
- W1590113844 cites W1999244633 @default.
- W1590113844 cites W201690462 @default.
- W1590113844 cites W2104095591 @default.
- W1590113844 cites W2114487471 @default.
- W1590113844 cites W2116040950 @default.
- W1590113844 cites W2143668817 @default.
- W1590113844 cites W2145803225 @default.
- W1590113844 cites W2149184914 @default.
- W1590113844 cites W2317358310 @default.
- W1590113844 cites W3211330693 @default.
- W1590113844 doi "https://doi.org/10.1007/978-3-642-04268-3_30" @default.
- W1590113844 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20425993" @default.
- W1590113844 hasPublicationYear "2009" @default.
- W1590113844 type Work @default.
- W1590113844 sameAs 1590113844 @default.
- W1590113844 citedByCount "8" @default.
- W1590113844 countsByYear W15901138442012 @default.
- W1590113844 countsByYear W15901138442013 @default.
- W1590113844 crossrefType "book-chapter" @default.
- W1590113844 hasAuthorship W1590113844A5008530493 @default.
- W1590113844 hasAuthorship W1590113844A5027282999 @default.
- W1590113844 hasAuthorship W1590113844A5049825346 @default.
- W1590113844 hasAuthorship W1590113844A5062305239 @default.
- W1590113844 hasAuthorship W1590113844A5074243216 @default.
- W1590113844 hasBestOaLocation W15901138441 @default.
- W1590113844 hasConcept C102366305 @default.
- W1590113844 hasConcept C105795698 @default.
- W1590113844 hasConcept C107673813 @default.
- W1590113844 hasConcept C124504099 @default.
- W1590113844 hasConcept C153008295 @default.
- W1590113844 hasConcept C153180895 @default.
- W1590113844 hasConcept C154945302 @default.
- W1590113844 hasConcept C177769412 @default.
- W1590113844 hasConcept C2776502983 @default.
- W1590113844 hasConcept C31972630 @default.
- W1590113844 hasConcept C33923547 @default.
- W1590113844 hasConcept C41008148 @default.
- W1590113844 hasConcept C89600930 @default.
- W1590113844 hasConceptScore W1590113844C102366305 @default.
- W1590113844 hasConceptScore W1590113844C105795698 @default.
- W1590113844 hasConceptScore W1590113844C107673813 @default.
- W1590113844 hasConceptScore W1590113844C124504099 @default.
- W1590113844 hasConceptScore W1590113844C153008295 @default.
- W1590113844 hasConceptScore W1590113844C153180895 @default.
- W1590113844 hasConceptScore W1590113844C154945302 @default.
- W1590113844 hasConceptScore W1590113844C177769412 @default.
- W1590113844 hasConceptScore W1590113844C2776502983 @default.
- W1590113844 hasConceptScore W1590113844C31972630 @default.
- W1590113844 hasConceptScore W1590113844C33923547 @default.
- W1590113844 hasConceptScore W1590113844C41008148 @default.
- W1590113844 hasConceptScore W1590113844C89600930 @default.
- W1590113844 hasLocation W15901138441 @default.
- W1590113844 hasLocation W15901138442 @default.
- W1590113844 hasOpenAccess W1590113844 @default.
- W1590113844 hasPrimaryLocation W15901138441 @default.
- W1590113844 hasRelatedWork W1502701952 @default.
- W1590113844 hasRelatedWork W199229348 @default.
- W1590113844 hasRelatedWork W2006480573 @default.
- W1590113844 hasRelatedWork W2015741709 @default.
- W1590113844 hasRelatedWork W2028057046 @default.
- W1590113844 hasRelatedWork W2042089741 @default.
- W1590113844 hasRelatedWork W2043589278 @default.
- W1590113844 hasRelatedWork W2057507008 @default.
- W1590113844 hasRelatedWork W2067738122 @default.
- W1590113844 hasRelatedWork W2069169687 @default.
- W1590113844 hasRelatedWork W2144473820 @default.
- W1590113844 hasRelatedWork W2149582159 @default.
- W1590113844 hasRelatedWork W2356496262 @default.
- W1590113844 hasRelatedWork W2433472131 @default.
- W1590113844 hasRelatedWork W2548520796 @default.
- W1590113844 hasRelatedWork W2590848170 @default.
- W1590113844 hasRelatedWork W2789376207 @default.
- W1590113844 hasRelatedWork W2979797290 @default.
- W1590113844 hasRelatedWork W3028344545 @default.
- W1590113844 hasRelatedWork W3183658020 @default.
- W1590113844 isParatext "false" @default.
- W1590113844 isRetracted "false" @default.
- W1590113844 magId "1590113844" @default.
- W1590113844 workType "book-chapter" @default.