Using optimized CT type to predict histological classifications of thymic epithelial tumors: a radiomics integrated analysis.
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| Title: | Using optimized CT type to predict histological classifications of thymic epithelial tumors: a radiomics integrated analysis. |
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| Authors: | Zhang, Zhengping1,2 (AUTHOR), Mi, Kede3 (AUTHOR), Wang, Zhaojun4 (AUTHOR), Yang, Xiaoyan1,5 (AUTHOR), Meng, Shuping2 (AUTHOR), Tian, Xingcang2 (AUTHOR), Han, Yanzhu2 (AUTHOR), Qu, Yuling6 (AUTHOR), Zhu, Li2 (AUTHOR), Chen, Juan1,5 (AUTHOR) chenjuan7419@163.com |
| Source: | Insights into Imaging. 3/22/2025, Vol. 16 Issue 1, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 183973425 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=asn&AN=183973425 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13244-025-01933-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: Using optimized CT type to predict histological classifications of thymic epithelial tumors: a radiomics integrated analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Zhengping – PersonEntity: Name: NameFull: Mi, Kede – PersonEntity: Name: NameFull: Wang, Zhaojun – PersonEntity: Name: NameFull: Yang, Xiaoyan – PersonEntity: Name: NameFull: Meng, Shuping – PersonEntity: Name: NameFull: Tian, Xingcang – PersonEntity: Name: NameFull: Han, Yanzhu – PersonEntity: Name: NameFull: Qu, Yuling – PersonEntity: Name: NameFull: Zhu, Li – PersonEntity: Name: NameFull: Chen, Juan IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 03 Text: 3/22/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18694101 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Insights into Imaging Type: main |
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