A Review of U‐Net‐Based Deep Learning Models for Skin Lesion Segmentation.
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| Title: | A Review of U‐Net‐Based Deep Learning Models for Skin Lesion Segmentation. |
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| Authors: | Kumar, S. S.1, kumarss@live.comkumarss@niuniv.com, Vinod Kumar, R. S.2, Subbulekshmi, D.3 |
| Source: | International Journal of Imaging Systems & Technology; May2025, Vol. 35 Issue 3, p1-25, 25p |
| 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: 185490739 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=185490739 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ima.70107 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Titles: – TitleFull: A Review of U‐Net‐Based Deep Learning Models for Skin Lesion Segmentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, S. S. – PersonEntity: Name: NameFull: Vinod Kumar, R. S. – PersonEntity: Name: NameFull: Subbulekshmi, D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08999457 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Imaging Systems & Technology Type: main |
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