Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes.
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| Title: | Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. |
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| Authors: | Bougourzi, Fares1, faresbougourzi@gmail.com, Dornaika, Fadi2,3, Nakib, Amir1, Taleb-Ahmed, Abdelmalik4 |
| Source: | Artificial Intelligence Review; Apr2024, Vol. 57 Issue 4, p1-35, 35p |
| 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: 176887796 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=176887796 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-024-10717-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 1 Titles: – TitleFull: Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bougourzi, Fares – PersonEntity: Name: NameFull: Dornaika, Fadi – PersonEntity: Name: NameFull: Nakib, Amir – PersonEntity: Name: NameFull: Taleb-Ahmed, Abdelmalik IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 57 – Type: issue Value: 4 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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