Matches in SemOpenAlex for { <https://semopenalex.org/work/W2046326377> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2046326377 abstract "Although interactive image segmentation has been widely exploited, current approaches present unsatisfactory results in medical image processing. This paper proposes a fast method for interactive CT image segmentation in which the tumor regions should be partitioned as foreground against the healthy tissues. In contrast to natural images, we have the following observation on CT images: (1) CT images often include discontinuous silhouette or cluttered spots caused by input de- vices or patient corporeity; (2) Disease areas often have varying appearance and shape. We thus train a discriminative fore- ground/background model based on user-placed scribbles. In our method, we extract positive and negative samples according to the foreground and background scribbles respectively, and use dense SIFT descriptors plus gray-level histogram as candidate features. With online learning, segmentation can be fast solved by the Bregman iteration. We test our method on CT liver images and demonstrate the advantage by comparing to state-of-the-art approaches." @default.
- W2046326377 created "2016-06-24" @default.
- W2046326377 creator A5006956415 @default.
- W2046326377 creator A5040743941 @default.
- W2046326377 creator A5058965019 @default.
- W2046326377 creator A5066028215 @default.
- W2046326377 date "2011-09-01" @default.
- W2046326377 modified "2023-10-16" @default.
- W2046326377 title "Interactive CT image segmentation with online discriminative learning" @default.
- W2046326377 cites W2024046085 @default.
- W2046326377 cites W2084756013 @default.
- W2046326377 cites W2090518410 @default.
- W2046326377 cites W2111336260 @default.
- W2046326377 cites W2124386111 @default.
- W2046326377 cites W2132284553 @default.
- W2046326377 cites W2135095945 @default.
- W2046326377 cites W2159152281 @default.
- W2046326377 cites W2169551590 @default.
- W2046326377 cites W3211330693 @default.
- W2046326377 doi "https://doi.org/10.1109/icip.2011.6116541" @default.
- W2046326377 hasPublicationYear "2011" @default.
- W2046326377 type Work @default.
- W2046326377 sameAs 2046326377 @default.
- W2046326377 citedByCount "0" @default.
- W2046326377 crossrefType "proceedings-article" @default.
- W2046326377 hasAuthorship W2046326377A5006956415 @default.
- W2046326377 hasAuthorship W2046326377A5040743941 @default.
- W2046326377 hasAuthorship W2046326377A5058965019 @default.
- W2046326377 hasAuthorship W2046326377A5066028215 @default.
- W2046326377 hasConcept C115961682 @default.
- W2046326377 hasConcept C124504099 @default.
- W2046326377 hasConcept C153180895 @default.
- W2046326377 hasConcept C154945302 @default.
- W2046326377 hasConcept C31972630 @default.
- W2046326377 hasConcept C41008148 @default.
- W2046326377 hasConcept C53533937 @default.
- W2046326377 hasConcept C58103923 @default.
- W2046326377 hasConcept C65885262 @default.
- W2046326377 hasConcept C89600930 @default.
- W2046326377 hasConcept C97931131 @default.
- W2046326377 hasConceptScore W2046326377C115961682 @default.
- W2046326377 hasConceptScore W2046326377C124504099 @default.
- W2046326377 hasConceptScore W2046326377C153180895 @default.
- W2046326377 hasConceptScore W2046326377C154945302 @default.
- W2046326377 hasConceptScore W2046326377C31972630 @default.
- W2046326377 hasConceptScore W2046326377C41008148 @default.
- W2046326377 hasConceptScore W2046326377C53533937 @default.
- W2046326377 hasConceptScore W2046326377C58103923 @default.
- W2046326377 hasConceptScore W2046326377C65885262 @default.
- W2046326377 hasConceptScore W2046326377C89600930 @default.
- W2046326377 hasConceptScore W2046326377C97931131 @default.
- W2046326377 hasLocation W20463263771 @default.
- W2046326377 hasOpenAccess W2046326377 @default.
- W2046326377 hasPrimaryLocation W20463263771 @default.
- W2046326377 hasRelatedWork W1544749586 @default.
- W2046326377 hasRelatedWork W1562793155 @default.
- W2046326377 hasRelatedWork W1631910785 @default.
- W2046326377 hasRelatedWork W1669643531 @default.
- W2046326377 hasRelatedWork W2000153650 @default.
- W2046326377 hasRelatedWork W2110230079 @default.
- W2046326377 hasRelatedWork W2117664411 @default.
- W2046326377 hasRelatedWork W2117933325 @default.
- W2046326377 hasRelatedWork W2992645504 @default.
- W2046326377 hasRelatedWork W1967061043 @default.
- W2046326377 isParatext "false" @default.
- W2046326377 isRetracted "false" @default.
- W2046326377 magId "2046326377" @default.
- W2046326377 workType "article" @default.