Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312878373> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4312878373 endingPage "387" @default.
- W4312878373 startingPage "376" @default.
- W4312878373 abstract "Usually, the directly acquired CT images are from the axial views with respect to the major axes of the body, which do not effectively represent the structure of the heart. If CT imaging is first reformatted into the typical cardiac imaging planes, it will lay the foundation for the subsequent analysis. In this paper, we propose an automatic CT view planning method to acquire standard views of the heart from 3D CT volume, obtaining the equation of the plane by detecting landmarks that can determine this view. To face the challenge of memory cost brought by 3D CT input, we convert the 3D problem into a 2.5D problem, taking into account the spatial context information at the same time. We design a coarse-to-fine framework for the automatic detection of anatomical landmarks. The coarse network is used to estimate the probability distribution of the landmark location in each set of orthogonal planes, and the fine network is further used to regress the offset distance of the current result from the ground-truth. We construct the first known dataset of reformatted cardiac CT with landmark annotations, and the proposed method is evaluated on our dataset, validating its accuracy in the tasks of landmark detection and view planning." @default.
- W4312878373 created "2023-01-05" @default.
- W4312878373 creator A5009147265 @default.
- W4312878373 creator A5013594735 @default.
- W4312878373 date "2022-01-01" @default.
- W4312878373 modified "2023-09-29" @default.
- W4312878373 title "A 2.5D Coarse-to-Fine Framework for 3D Cardiac CT View Planning" @default.
- W4312878373 cites W154056955 @default.
- W4312878373 cites W1553719179 @default.
- W4312878373 cites W2089900670 @default.
- W4312878373 cites W2097993670 @default.
- W4312878373 cites W2100821852 @default.
- W4312878373 cites W2132401137 @default.
- W4312878373 cites W2149756029 @default.
- W4312878373 cites W2399244897 @default.
- W4312878373 cites W2525974879 @default.
- W4312878373 cites W2724710774 @default.
- W4312878373 cites W2754385163 @default.
- W4312878373 cites W2809133690 @default.
- W4312878373 cites W2921437640 @default.
- W4312878373 cites W2963656426 @default.
- W4312878373 cites W2990015472 @default.
- W4312878373 cites W3100711768 @default.
- W4312878373 cites W3102109558 @default.
- W4312878373 cites W3127897508 @default.
- W4312878373 cites W3204520079 @default.
- W4312878373 cites W4244830462 @default.
- W4312878373 doi "https://doi.org/10.1007/978-3-031-18910-4_31" @default.
- W4312878373 hasPublicationYear "2022" @default.
- W4312878373 type Work @default.
- W4312878373 citedByCount "0" @default.
- W4312878373 crossrefType "book-chapter" @default.
- W4312878373 hasAuthorship W4312878373A5009147265 @default.
- W4312878373 hasAuthorship W4312878373A5013594735 @default.
- W4312878373 hasConcept C126838900 @default.
- W4312878373 hasConcept C144024400 @default.
- W4312878373 hasConcept C146849305 @default.
- W4312878373 hasConcept C151730666 @default.
- W4312878373 hasConcept C153180895 @default.
- W4312878373 hasConcept C154945302 @default.
- W4312878373 hasConcept C175291020 @default.
- W4312878373 hasConcept C177264268 @default.
- W4312878373 hasConcept C199360897 @default.
- W4312878373 hasConcept C2779304628 @default.
- W4312878373 hasConcept C2779343474 @default.
- W4312878373 hasConcept C2780297707 @default.
- W4312878373 hasConcept C31972630 @default.
- W4312878373 hasConcept C36289849 @default.
- W4312878373 hasConcept C41008148 @default.
- W4312878373 hasConcept C544519230 @default.
- W4312878373 hasConcept C71924100 @default.
- W4312878373 hasConcept C86803240 @default.
- W4312878373 hasConceptScore W4312878373C126838900 @default.
- W4312878373 hasConceptScore W4312878373C144024400 @default.
- W4312878373 hasConceptScore W4312878373C146849305 @default.
- W4312878373 hasConceptScore W4312878373C151730666 @default.
- W4312878373 hasConceptScore W4312878373C153180895 @default.
- W4312878373 hasConceptScore W4312878373C154945302 @default.
- W4312878373 hasConceptScore W4312878373C175291020 @default.
- W4312878373 hasConceptScore W4312878373C177264268 @default.
- W4312878373 hasConceptScore W4312878373C199360897 @default.
- W4312878373 hasConceptScore W4312878373C2779304628 @default.
- W4312878373 hasConceptScore W4312878373C2779343474 @default.
- W4312878373 hasConceptScore W4312878373C2780297707 @default.
- W4312878373 hasConceptScore W4312878373C31972630 @default.
- W4312878373 hasConceptScore W4312878373C36289849 @default.
- W4312878373 hasConceptScore W4312878373C41008148 @default.
- W4312878373 hasConceptScore W4312878373C544519230 @default.
- W4312878373 hasConceptScore W4312878373C71924100 @default.
- W4312878373 hasConceptScore W4312878373C86803240 @default.
- W4312878373 hasLocation W43128783731 @default.
- W4312878373 hasOpenAccess W4312878373 @default.
- W4312878373 hasPrimaryLocation W43128783731 @default.
- W4312878373 hasRelatedWork W166366606 @default.
- W4312878373 hasRelatedWork W1990932233 @default.
- W4312878373 hasRelatedWork W2014643887 @default.
- W4312878373 hasRelatedWork W2016546218 @default.
- W4312878373 hasRelatedWork W2093747323 @default.
- W4312878373 hasRelatedWork W2098980211 @default.
- W4312878373 hasRelatedWork W2162460942 @default.
- W4312878373 hasRelatedWork W2352223314 @default.
- W4312878373 hasRelatedWork W2509104183 @default.
- W4312878373 hasRelatedWork W2525521397 @default.
- W4312878373 isParatext "false" @default.
- W4312878373 isRetracted "false" @default.
- W4312878373 workType "book-chapter" @default.