Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network.
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| Title: | Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network. |
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| Authors: | Sun, Xiuxia1, Fan, Yongdong2, Jin, Yan1,3, Lu, Yunhu1,4, Lin, Botao1,3, Zhang, Xiao2,4 |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2533, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192636311 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192636311 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16052533 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2533 Titles: – TitleFull: Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Xiuxia – PersonEntity: Name: NameFull: Fan, Yongdong – PersonEntity: Name: NameFull: Jin, Yan – PersonEntity: Name: NameFull: Lu, Yunhu – PersonEntity: Name: NameFull: Lin, Botao – PersonEntity: Name: NameFull: Zhang, Xiao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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