Matches in SemOpenAlex for { <https://semopenalex.org/work/W2962611724> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2962611724 abstract "In orthodontic treatment, automatic cephalometric landmark detection is essential for clinical diagnosis, planning, and research. In accordance with the features of the cephalograms and the distribution of cephalometric landmarks, this paper proposes the first Faster R-CNN based method, CephaNet, for cephalometric landmark detection. In CephaNet, we design a multi-task loss for reducing intra-class variations and adopt the multi-scale training strategy to improve detection accuracy of small landmarks. For removing abnormal detected landmarks (superfluous or undetected landmarks), we present a two-stage repair strategy. Firstly, we construct a 2D undirected graph according to the distribution of landmarks in training data, and then we adopt 'max-confidence' and Laplacian transformation to remove abnormal landmark-s. CephaNet obtains the state-of-the-art performance in the public dataset, and its detection accuracy is about 6% higher than other methods in the clinically accepted 2-mm range. The results demonstrate CephaNet is effective in cephalometric landmark detection." @default.
- W2962611724 created "2019-07-23" @default.
- W2962611724 creator A5019940239 @default.
- W2962611724 creator A5032760251 @default.
- W2962611724 creator A5036135781 @default.
- W2962611724 creator A5057292365 @default.
- W2962611724 creator A5057993843 @default.
- W2962611724 date "2019-04-01" @default.
- W2962611724 modified "2023-10-11" @default.
- W2962611724 title "CephaNet: An Improved Faster R-CNN for Cephalometric Landmark Detection" @default.
- W2962611724 cites W114517082 @default.
- W2962611724 cites W1995003188 @default.
- W2962611724 cites W2102661073 @default.
- W2962611724 cites W2106705864 @default.
- W2962611724 cites W2156388720 @default.
- W2962611724 cites W2275865840 @default.
- W2962611724 cites W2522168735 @default.
- W2962611724 cites W2569670712 @default.
- W2962611724 cites W2593991588 @default.
- W2962611724 cites W639708223 @default.
- W2962611724 doi "https://doi.org/10.1109/isbi.2019.8759437" @default.
- W2962611724 hasPublicationYear "2019" @default.
- W2962611724 type Work @default.
- W2962611724 sameAs 2962611724 @default.
- W2962611724 citedByCount "33" @default.
- W2962611724 countsByYear W29626117242020 @default.
- W2962611724 countsByYear W29626117242021 @default.
- W2962611724 countsByYear W29626117242022 @default.
- W2962611724 countsByYear W29626117242023 @default.
- W2962611724 crossrefType "proceedings-article" @default.
- W2962611724 hasAuthorship W2962611724A5019940239 @default.
- W2962611724 hasAuthorship W2962611724A5032760251 @default.
- W2962611724 hasAuthorship W2962611724A5036135781 @default.
- W2962611724 hasAuthorship W2962611724A5057292365 @default.
- W2962611724 hasAuthorship W2962611724A5057993843 @default.
- W2962611724 hasConcept C104317684 @default.
- W2962611724 hasConcept C115961682 @default.
- W2962611724 hasConcept C132525143 @default.
- W2962611724 hasConcept C153180895 @default.
- W2962611724 hasConcept C154945302 @default.
- W2962611724 hasConcept C185592680 @default.
- W2962611724 hasConcept C204241405 @default.
- W2962611724 hasConcept C2779333352 @default.
- W2962611724 hasConcept C2780297707 @default.
- W2962611724 hasConcept C29694066 @default.
- W2962611724 hasConcept C31972630 @default.
- W2962611724 hasConcept C41008148 @default.
- W2962611724 hasConcept C55493867 @default.
- W2962611724 hasConcept C56435381 @default.
- W2962611724 hasConcept C71924100 @default.
- W2962611724 hasConcept C80444323 @default.
- W2962611724 hasConceptScore W2962611724C104317684 @default.
- W2962611724 hasConceptScore W2962611724C115961682 @default.
- W2962611724 hasConceptScore W2962611724C132525143 @default.
- W2962611724 hasConceptScore W2962611724C153180895 @default.
- W2962611724 hasConceptScore W2962611724C154945302 @default.
- W2962611724 hasConceptScore W2962611724C185592680 @default.
- W2962611724 hasConceptScore W2962611724C204241405 @default.
- W2962611724 hasConceptScore W2962611724C2779333352 @default.
- W2962611724 hasConceptScore W2962611724C2780297707 @default.
- W2962611724 hasConceptScore W2962611724C29694066 @default.
- W2962611724 hasConceptScore W2962611724C31972630 @default.
- W2962611724 hasConceptScore W2962611724C41008148 @default.
- W2962611724 hasConceptScore W2962611724C55493867 @default.
- W2962611724 hasConceptScore W2962611724C56435381 @default.
- W2962611724 hasConceptScore W2962611724C71924100 @default.
- W2962611724 hasConceptScore W2962611724C80444323 @default.
- W2962611724 hasLocation W29626117241 @default.
- W2962611724 hasOpenAccess W2962611724 @default.
- W2962611724 hasPrimaryLocation W29626117241 @default.
- W2962611724 hasRelatedWork W166366606 @default.
- W2962611724 hasRelatedWork W2016546218 @default.
- W2962611724 hasRelatedWork W2098911910 @default.
- W2962611724 hasRelatedWork W2148343984 @default.
- W2962611724 hasRelatedWork W2352223314 @default.
- W2962611724 hasRelatedWork W2509104183 @default.
- W2962611724 hasRelatedWork W2509618504 @default.
- W2962611724 hasRelatedWork W586143910 @default.
- W2962611724 hasRelatedWork W99616944 @default.
- W2962611724 hasRelatedWork W2156243485 @default.
- W2962611724 isParatext "false" @default.
- W2962611724 isRetracted "false" @default.
- W2962611724 magId "2962611724" @default.
- W2962611724 workType "article" @default.