A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning.
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| Title: | A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning. |
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| Authors: | Fayemiwo, Michael1, m.fayemiwo@ulster.ac.uk, Gardiner, Bryan1, Harkin, Jim1, McDaid, Liam1, Prakash, Punit2, Dennedy, Michael3 |
| Source: | Journal of Imaging Informatics in Medicine; Dec2025, Vol. 38 Issue 6, p3698-3710, 13p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190236374 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=190236374 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10278-025-01449-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 3698 Titles: – TitleFull: A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fayemiwo, Michael – PersonEntity: Name: NameFull: Gardiner, Bryan – PersonEntity: Name: NameFull: Harkin, Jim – PersonEntity: Name: NameFull: McDaid, Liam – PersonEntity: Name: NameFull: Prakash, Punit – PersonEntity: Name: NameFull: Dennedy, Michael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 29482925 Numbering: – Type: volume Value: 38 – Type: issue Value: 6 Titles: – TitleFull: Journal of Imaging Informatics in Medicine Type: main |
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