Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification.
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| Title: | Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification. |
|---|---|
| Authors: | Nguyen, Thanh Tam1, tamnt.ncs@hcmute.edu.vn, Nguyen, Thanh Hai1, nthai@hcmute.edu.vn |
| Source: | Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p26330-26338, 9p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 189243265 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nguyen%2C+Thanh+Tam%22">Nguyen, Thanh Tam</searchLink><relatesTo>1</relatesTo>, <i>tamnt.ncs@hcmute.edu.vn</i><br /><searchLink fieldCode="AU" term="%22Nguyen%2C+Thanh+Hai%22">Nguyen, Thanh Hai</searchLink><relatesTo>1</relatesTo>, <i>nthai@hcmute.edu.vn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Oct2025, Vol. 15 Issue 5, p26330-26338, 9p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189243265 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.12067 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 26330 Titles: – TitleFull: Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nguyen, Thanh Tam – PersonEntity: Name: NameFull: Nguyen, Thanh Hai IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 15 – Type: issue Value: 5 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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