Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer.
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| Title: | Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer. |
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| Authors: | Ayana G; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia., Barki H; Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Republic of Korea., Choe SW; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32608, USA. |
| Source: | Cancers [Cancers (Basel)] 2024 Apr 08; Vol. 16 (7). Date of Electronic Publication: 2024 Apr 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38611117 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ayana+G%22">Ayana G</searchLink>; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; School of Biomedical Engineering, Jimma University, Jimma 378, Ethiopia.<br /><searchLink fieldCode="AU" term="%22Barki+H%22">Barki H</searchLink>; Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choe+SW%22">Choe SW</searchLink>; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32608, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101526829%22">Cancers</searchLink> [Cancers (Basel)] 2024 Apr 08; Vol. 16 (7). <i>Date of Electronic Publication: </i>2024 Apr 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101526829 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2072-6694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220726694%22">20726694 </searchLink><i>NLM ISO Abbreviation: </i>Cancers (Basel) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38611117 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/cancers16071441 Languages: – Code: eng Text: English Titles: – TitleFull: Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ayana G – PersonEntity: Name: NameFull: Barki H – PersonEntity: Name: NameFull: Choe SW IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 04 Text: 2024 Apr 08 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2072-6694 Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: Cancers Type: main |
| ResultId | 1 |