FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201002110> ?p ?o ?g. }

• W3201002110 endingPage "318" @default.
• W3201002110 startingPage "312" @default.
• W3201002110 abstract "This paper puts forward a new method for automatic segmentation of bony orbit as well as automatic extraction and classification of aging features of segmented orbit contour based on depth learning, with which the aging mode of bony orbit contour is preliminarily validated.Three-dimensional reconstruction was carried out by using the craniofacial Computed Tomography scanning data of 595 adult Mongolians at different ages (119 young males, 78 young females, 109 middle-aged males, 89 middle-aged females, 95 elderly males, and 105 elderly females), the craniofacial images were exported, orbit contour images were obtained with U-Net segmentation network, and then the orbit contour features of young group, the middle-aged group and the elderly group were classified with the classification network. Next, contour area, height, and other features put forward in existing research were automatically calculated by using the connected component shape description method; and it was validated whether the aging features of the bony orbit only occur to partial or the whole orbit.With the method put forward in this paper, high-precision identification (97.94% and 99.18%) of 3 categories in the male and female group experiments. In the meanwhile, it was found in the comparison experiment with other features that bony orbit contour definitely has features relating to aging, but these features only occur to partial areas of the orbit, which enables the convolutional neural network to achieve good identification effects. And, bone resorption of the superior orbital rim of males is more obvious than that of the inferior orbital rim, but the overall shape features like the bony orbit area and height do not change significantly along with the increase of the age.U-Net can realize high-precision segmentation of the orbit contour, and with the Convolutional Neural Network-based orbit contour sorting algorithm, the aging degree of the bony orbit can be identified precisely. It is preliminarily validated that the aging mode of Mongolian bony orbit contour is that the bone resorption of the superior orbital rim is more obvious than that of the inferior orbital rim, and the change of the orbit area, perimeter, height and circularity is not obvious in the aging process." @default.
• W3201002110 created "2021-09-27" @default.
• W3201002110 creator A5022039569 @default.
• W3201002110 creator A5038385200 @default.
• W3201002110 creator A5054854347 @default.
• W3201002110 creator A5056328075 @default.
• W3201002110 creator A5065058975 @default.
• W3201002110 creator A5069732505 @default.
• W3201002110 creator A5076863133 @default.
• W3201002110 creator A5078386976 @default.
• W3201002110 date "2021-09-24" @default.
• W3201002110 modified "2023-10-16" @default.
• W3201002110 title "Deep Learning-Based CT Radiomics for Feature Representation and Analysis of Aging Characteristics of Asian Bony Orbit" @default.
• W3201002110 cites W1972518931 @default.
• W3201002110 cites W2004249406 @default.
• W3201002110 cites W2029570843 @default.
• W3201002110 cites W2036157984 @default.
• W3201002110 cites W2043114825 @default.
• W3201002110 cites W2057175746 @default.
• W3201002110 cites W2061522080 @default.
• W3201002110 cites W2063395259 @default.
• W3201002110 cites W2068185541 @default.
• W3201002110 cites W2068716139 @default.
• W3201002110 cites W2073417765 @default.
• W3201002110 cites W2085281262 @default.
• W3201002110 cites W2090913089 @default.
• W3201002110 cites W2100968369 @default.
• W3201002110 cites W2106874896 @default.
• W3201002110 cites W2122111042 @default.
• W3201002110 cites W2332042380 @default.
• W3201002110 cites W2413766689 @default.
• W3201002110 cites W2598606478 @default.
• W3201002110 cites W2608336654 @default.
• W3201002110 cites W2769295819 @default.
• W3201002110 cites W2995527691 @default.
• W3201002110 cites W2999770235 @default.
• W3201002110 cites W3002673443 @default.
• W3201002110 cites W3012424361 @default.
• W3201002110 cites W3037414627 @default.
• W3201002110 cites W3037961027 @default.
• W3201002110 cites W3119192920 @default.
• W3201002110 cites W3133191822 @default.
• W3201002110 cites W4238436326 @default.
• W3201002110 cites W4376635385 @default.
• W3201002110 doi "https://doi.org/10.1097/scs.0000000000008198" @default.
• W3201002110 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34560737" @default.
• W3201002110 hasPublicationYear "2021" @default.
• W3201002110 type Work @default.
• W3201002110 sameAs 3201002110 @default.
• W3201002110 citedByCount "8" @default.
• W3201002110 countsByYear W32010021102022 @default.
• W3201002110 countsByYear W32010021102023 @default.
• W3201002110 crossrefType "journal-article" @default.
• W3201002110 hasAuthorship W3201002110A5022039569 @default.
• W3201002110 hasAuthorship W3201002110A5038385200 @default.
• W3201002110 hasAuthorship W3201002110A5054854347 @default.
• W3201002110 hasAuthorship W3201002110A5056328075 @default.
• W3201002110 hasAuthorship W3201002110A5065058975 @default.
• W3201002110 hasAuthorship W3201002110A5069732505 @default.
• W3201002110 hasAuthorship W3201002110A5076863133 @default.
• W3201002110 hasAuthorship W3201002110A5078386976 @default.
• W3201002110 hasBestOaLocation W32010021101 @default.
• W3201002110 hasConcept C118552586 @default.
• W3201002110 hasConcept C127413603 @default.
• W3201002110 hasConcept C146978453 @default.
• W3201002110 hasConcept C154945302 @default.
• W3201002110 hasConcept C196644772 @default.
• W3201002110 hasConcept C2781245598 @default.
• W3201002110 hasConcept C41008148 @default.
• W3201002110 hasConcept C71924100 @default.
• W3201002110 hasConcept C81363708 @default.
• W3201002110 hasConcept C89600930 @default.
• W3201002110 hasConceptScore W3201002110C118552586 @default.
• W3201002110 hasConceptScore W3201002110C127413603 @default.
• W3201002110 hasConceptScore W3201002110C146978453 @default.
• W3201002110 hasConceptScore W3201002110C154945302 @default.
• W3201002110 hasConceptScore W3201002110C196644772 @default.
• W3201002110 hasConceptScore W3201002110C2781245598 @default.
• W3201002110 hasConceptScore W3201002110C41008148 @default.
• W3201002110 hasConceptScore W3201002110C71924100 @default.
• W3201002110 hasConceptScore W3201002110C81363708 @default.
• W3201002110 hasConceptScore W3201002110C89600930 @default.
• W3201002110 hasIssue "1" @default.
• W3201002110 hasLocation W32010021101 @default.
• W3201002110 hasLocation W32010021102 @default.
• W3201002110 hasLocation W32010021103 @default.
• W3201002110 hasLocation W32010021104 @default.
• W3201002110 hasOpenAccess W3201002110 @default.
• W3201002110 hasPrimaryLocation W32010021101 @default.
• W3201002110 hasRelatedWork W2557924869 @default.
• W3201002110 hasRelatedWork W2766634277 @default.
• W3201002110 hasRelatedWork W2904040013 @default.
• W3201002110 hasRelatedWork W2976316911 @default.
• W3201002110 hasRelatedWork W3081496756 @default.
• W3201002110 hasRelatedWork W3133861977 @default.
• W3201002110 hasRelatedWork W3135818718 @default.
• W3201002110 hasRelatedWork W4200528772 @default.
• W3201002110 hasRelatedWork W4312417841 @default.

• next