Choledochal cancer region detection in hyperspectral images using U-Net based models.
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| Title: | Choledochal cancer region detection in hyperspectral images using U-Net based models. |
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| Authors: | Nabajja, Subhashish1, subhashishnabajja1575643@gmail.com, Kanojia, Mahendra1 |
| Source: | International Journal of Hybrid Intelligent Systems; May2025, Vol. 21 Issue 2, p96-114, 19p |
| 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: 185002075 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Choledochal cancer region detection in hyperspectral images using U-Net based models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nabajja%2C+Subhashish%22">Nabajja, Subhashish</searchLink><relatesTo>1</relatesTo>, <i>subhashishnabajja1575643@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kanojia%2C+Mahendra%22">Kanojia, Mahendra</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Hybrid+Intelligent+Systems%22">International Journal of Hybrid Intelligent Systems</searchLink>; May2025, Vol. 21 Issue 2, p96-114, 19p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185002075 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/HIS-240024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 96 Titles: – TitleFull: Choledochal cancer region detection in hyperspectral images using U-Net based models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nabajja, Subhashish – PersonEntity: Name: NameFull: Kanojia, Mahendra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14485869 Numbering: – Type: volume Value: 21 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Hybrid Intelligent Systems Type: main |
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