FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016452392> ?p ?o ?g. }

• W2016452392 endingPage "74" @default.
• W2016452392 startingPage "65" @default.
• W2016452392 abstract "An automatic variational level set segmentation framework for Computer Aided Dental X-rays Analysis (CADXA) in clinical environments is proposed. Designed for clinical environments, the segmentation contains two stages: a training stage and a segmentation stage. During the training stage, first, manually chosen representative images are segmented using hierarchical level set region detection. Then the window based feature extraction followed by principal component analysis (PCA) is applied and results are used to train a support vector machine (SVM) classifier. During the segmentation stage, dental X-rays are classified first by the trained SVM. The classifier provides initial contours which are close to correct boundaries for three coupled level sets driven by a proposed pathologically variational modeling which greatly accelerates the level set segmentation. Based on the segmentation results and uncertainty maps that are built based on a proposed uncertainty measurement, a computer aided analysis scheme is applied. The experimental results show that the proposed method is able to provide an automatic pathological segmentation which naturally segments those problem areas. Based on the segmentation results, the analysis scheme is able to provide indications of possible problem areas of bone loss and decay to the dentists. As well, the experimental results show that the proposed segmentation framework is able to speed up the level set segmentation in clinical environments." @default.
• W2016452392 created "2016-06-24" @default.
• W2016452392 creator A5000617157 @default.
• W2016452392 creator A5040367916 @default.
• W2016452392 creator A5043296622 @default.
• W2016452392 creator A5046164638 @default.
• W2016452392 date "2006-03-01" @default.
• W2016452392 modified "2023-09-28" @default.
• W2016452392 title "An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments" @default.
• W2016452392 cites W1512752567 @default.
• W2016452392 cites W1541134818 @default.
• W2016452392 cites W1549854013 @default.
• W2016452392 cites W1585276024 @default.
• W2016452392 cites W1648628932 @default.
• W2016452392 cites W1974020628 @default.
• W2016452392 cites W1991113069 @default.
• W2016452392 cites W1994875376 @default.
• W2016452392 cites W2036350498 @default.
• W2016452392 cites W2048623431 @default.
• W2016452392 cites W2074049473 @default.
• W2016452392 cites W2097109632 @default.
• W2016452392 cites W2116040950 @default.
• W2016452392 cites W2127292566 @default.
• W2016452392 cites W2132363464 @default.
• W2016452392 cites W2138451337 @default.
• W2016452392 cites W2147260542 @default.
• W2016452392 cites W2148395215 @default.
• W2016452392 cites W2165734775 @default.
• W2016452392 cites W2170343378 @default.
• W2016452392 cites W3211330693 @default.
• W2016452392 doi "https://doi.org/10.1016/j.compmedimag.2005.10.007" @default.
• W2016452392 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16500077" @default.
• W2016452392 hasPublicationYear "2006" @default.
• W2016452392 type Work @default.
• W2016452392 sameAs 2016452392 @default.
• W2016452392 citedByCount "47" @default.
• W2016452392 countsByYear W20164523922012 @default.
• W2016452392 countsByYear W20164523922013 @default.
• W2016452392 countsByYear W20164523922014 @default.
• W2016452392 countsByYear W20164523922015 @default.
• W2016452392 countsByYear W20164523922016 @default.
• W2016452392 countsByYear W20164523922017 @default.
• W2016452392 countsByYear W20164523922018 @default.
• W2016452392 countsByYear W20164523922019 @default.
• W2016452392 countsByYear W20164523922020 @default.
• W2016452392 countsByYear W20164523922021 @default.
• W2016452392 countsByYear W20164523922022 @default.
• W2016452392 countsByYear W20164523922023 @default.
• W2016452392 crossrefType "journal-article" @default.
• W2016452392 hasAuthorship W2016452392A5000617157 @default.
• W2016452392 hasAuthorship W2016452392A5040367916 @default.
• W2016452392 hasAuthorship W2016452392A5043296622 @default.
• W2016452392 hasAuthorship W2016452392A5046164638 @default.
• W2016452392 hasConcept C12267149 @default.
• W2016452392 hasConcept C124504099 @default.
• W2016452392 hasConcept C125269122 @default.
• W2016452392 hasConcept C153180895 @default.
• W2016452392 hasConcept C154945302 @default.
• W2016452392 hasConcept C199360897 @default.
• W2016452392 hasConcept C25694479 @default.
• W2016452392 hasConcept C27438332 @default.
• W2016452392 hasConcept C2780727963 @default.
• W2016452392 hasConcept C31972630 @default.
• W2016452392 hasConcept C41008148 @default.
• W2016452392 hasConcept C52622490 @default.
• W2016452392 hasConcept C65885262 @default.
• W2016452392 hasConcept C89600930 @default.
• W2016452392 hasConcept C95623464 @default.
• W2016452392 hasConceptScore W2016452392C12267149 @default.
• W2016452392 hasConceptScore W2016452392C124504099 @default.
• W2016452392 hasConceptScore W2016452392C125269122 @default.
• W2016452392 hasConceptScore W2016452392C153180895 @default.
• W2016452392 hasConceptScore W2016452392C154945302 @default.
• W2016452392 hasConceptScore W2016452392C199360897 @default.
• W2016452392 hasConceptScore W2016452392C25694479 @default.
• W2016452392 hasConceptScore W2016452392C27438332 @default.
• W2016452392 hasConceptScore W2016452392C2780727963 @default.
• W2016452392 hasConceptScore W2016452392C31972630 @default.
• W2016452392 hasConceptScore W2016452392C41008148 @default.
• W2016452392 hasConceptScore W2016452392C52622490 @default.
• W2016452392 hasConceptScore W2016452392C65885262 @default.
• W2016452392 hasConceptScore W2016452392C89600930 @default.
• W2016452392 hasConceptScore W2016452392C95623464 @default.
• W2016452392 hasIssue "2" @default.
• W2016452392 hasLocation W20164523921 @default.
• W2016452392 hasLocation W20164523922 @default.
• W2016452392 hasOpenAccess W2016452392 @default.
• W2016452392 hasPrimaryLocation W20164523921 @default.
• W2016452392 hasRelatedWork W1507266234 @default.
• W2016452392 hasRelatedWork W1522908000 @default.
• W2016452392 hasRelatedWork W1631910785 @default.
• W2016452392 hasRelatedWork W1669643531 @default.
• W2016452392 hasRelatedWork W2069711651 @default.
• W2016452392 hasRelatedWork W2117664411 @default.
• W2016452392 hasRelatedWork W2117933325 @default.
• W2016452392 hasRelatedWork W2558375057 @default.
• W2016452392 hasRelatedWork W3197341992 @default.
• W2016452392 hasRelatedWork W1967061043 @default.

• next