Matches in SemOpenAlex for { <https://semopenalex.org/work/W2037148081> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2037148081 endingPage "62" @default.
- W2037148081 startingPage "55" @default.
- W2037148081 abstract "Based on the continuity of adjacent slices in a medical image sequence, a slice-based 3-D segmentation framework is constructed to extract the intact kidney by processing all slices automatically in the whole sequence. The framework includes four sections: initial segmentation, selection of the most reliable initial segmentation, location and modification of leakage. The crucial section of the proposed framework is selecting the most reliable initial segmentation image, which will be regarded as the reference image to evaluate the continuity of the following slice. Leakage location is carried out based on the contextual features, and the local iterative thresholding (LIT) is used to modify the leakage. As test examples of the framework, abdominal computed tomography (CT) images in enhanced phases are processed to segment kidney automatically. The total of 392 CT images in 7 sequences from 3 patients are selected as training images to determine the parameters in the database, and other 898 CT images in 21 sequences from 7 patients are used as test images to evaluate the effectiveness of the method. An average of three dimensional Dice similarity coefficient (3-D DSC) of 94.7% and average symmetric surface distance (ASSD) of 0.91 mm are obtained, which indicate that the intact kidney can be perfectly extracted with hardly any leakage automatically." @default.
- W2037148081 created "2016-06-24" @default.
- W2037148081 creator A5040766261 @default.
- W2037148081 creator A5058125210 @default.
- W2037148081 creator A5071491717 @default.
- W2037148081 date "2013-03-01" @default.
- W2037148081 modified "2023-10-18" @default.
- W2037148081 title "Contextual information-aided kidney segmentation in CT sequences" @default.
- W2037148081 cites W1567641598 @default.
- W2037148081 cites W199587707 @default.
- W2037148081 cites W2001593947 @default.
- W2037148081 cites W2001787401 @default.
- W2037148081 cites W2052617496 @default.
- W2037148081 cites W2056543109 @default.
- W2037148081 cites W2058973101 @default.
- W2037148081 cites W2103606786 @default.
- W2037148081 cites W2104276184 @default.
- W2037148081 cites W2116040950 @default.
- W2037148081 cites W2117802366 @default.
- W2037148081 cites W2118048970 @default.
- W2037148081 cites W2120016591 @default.
- W2037148081 cites W2123410556 @default.
- W2037148081 cites W2131191043 @default.
- W2037148081 cites W2148347694 @default.
- W2037148081 cites W2157448679 @default.
- W2037148081 cites W2171417304 @default.
- W2037148081 cites W2172048779 @default.
- W2037148081 doi "https://doi.org/10.1016/j.optcom.2012.10.033" @default.
- W2037148081 hasPublicationYear "2013" @default.
- W2037148081 type Work @default.
- W2037148081 sameAs 2037148081 @default.
- W2037148081 citedByCount "11" @default.
- W2037148081 countsByYear W20371480812013 @default.
- W2037148081 countsByYear W20371480812016 @default.
- W2037148081 countsByYear W20371480812017 @default.
- W2037148081 countsByYear W20371480812018 @default.
- W2037148081 countsByYear W20371480812020 @default.
- W2037148081 countsByYear W20371480812021 @default.
- W2037148081 countsByYear W20371480812022 @default.
- W2037148081 crossrefType "journal-article" @default.
- W2037148081 hasAuthorship W2037148081A5040766261 @default.
- W2037148081 hasAuthorship W2037148081A5058125210 @default.
- W2037148081 hasAuthorship W2037148081A5071491717 @default.
- W2037148081 hasConcept C103278499 @default.
- W2037148081 hasConcept C115961682 @default.
- W2037148081 hasConcept C124504099 @default.
- W2037148081 hasConcept C139719470 @default.
- W2037148081 hasConcept C153180895 @default.
- W2037148081 hasConcept C154945302 @default.
- W2037148081 hasConcept C162324750 @default.
- W2037148081 hasConcept C191178318 @default.
- W2037148081 hasConcept C2777042071 @default.
- W2037148081 hasConcept C31972630 @default.
- W2037148081 hasConcept C41008148 @default.
- W2037148081 hasConcept C89600930 @default.
- W2037148081 hasConcept C9417928 @default.
- W2037148081 hasConceptScore W2037148081C103278499 @default.
- W2037148081 hasConceptScore W2037148081C115961682 @default.
- W2037148081 hasConceptScore W2037148081C124504099 @default.
- W2037148081 hasConceptScore W2037148081C139719470 @default.
- W2037148081 hasConceptScore W2037148081C153180895 @default.
- W2037148081 hasConceptScore W2037148081C154945302 @default.
- W2037148081 hasConceptScore W2037148081C162324750 @default.
- W2037148081 hasConceptScore W2037148081C191178318 @default.
- W2037148081 hasConceptScore W2037148081C2777042071 @default.
- W2037148081 hasConceptScore W2037148081C31972630 @default.
- W2037148081 hasConceptScore W2037148081C41008148 @default.
- W2037148081 hasConceptScore W2037148081C89600930 @default.
- W2037148081 hasConceptScore W2037148081C9417928 @default.
- W2037148081 hasLocation W20371480811 @default.
- W2037148081 hasOpenAccess W2037148081 @default.
- W2037148081 hasPrimaryLocation W20371480811 @default.
- W2037148081 hasRelatedWork W1669643531 @default.
- W2037148081 hasRelatedWork W2005437358 @default.
- W2037148081 hasRelatedWork W2008656436 @default.
- W2037148081 hasRelatedWork W2118331541 @default.
- W2037148081 hasRelatedWork W2347731544 @default.
- W2037148081 hasRelatedWork W2411367154 @default.
- W2037148081 hasRelatedWork W2517104666 @default.
- W2037148081 hasRelatedWork W2536634271 @default.
- W2037148081 hasRelatedWork W3136798404 @default.
- W2037148081 hasRelatedWork W4200222166 @default.
- W2037148081 hasVolume "290" @default.
- W2037148081 isParatext "false" @default.
- W2037148081 isRetracted "false" @default.
- W2037148081 magId "2037148081" @default.
- W2037148081 workType "article" @default.