Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans.
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| Title: | Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans. |
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| Authors: | Yeom, Jong Chan1, cs3c60ene@gmail.com, Park, So Hyun2, nnoleeter@gilhospital.com, Kim, Young Jae3, kimyj10528@gmail.com, Ahn, Tae Ran2, ahntaeradio@gmail.com, Kim, Kwang Gi4,5,6, kimkg@gachon.ac.kr |
| Source: | Journal of Imaging Informatics in Medicine; Apr2026, Vol. 39 Issue 2, p1113-1121, 9p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193167807 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yeom%2C+Jong+Chan%22">Yeom, Jong Chan</searchLink><relatesTo>1</relatesTo>, <i>cs3c60ene@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Park%2C+So+Hyun%22">Park, So Hyun</searchLink><relatesTo>2</relatesTo>, <i>nnoleeter@gilhospital.com</i><br /><searchLink fieldCode="AU" term="%22Kim%2C+Young+Jae%22">Kim, Young Jae</searchLink><relatesTo>3</relatesTo>, <i>kimyj10528@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Ahn%2C+Tae+Ran%22">Ahn, Tae Ran</searchLink><relatesTo>2</relatesTo>, <i>ahntaeradio@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kim%2C+Kwang+Gi%22">Kim, Kwang Gi</searchLink><relatesTo>4,5,6</relatesTo>, <i>kimkg@gachon.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Informatics+in+Medicine%22">Journal of Imaging Informatics in Medicine</searchLink>; Apr2026, Vol. 39 Issue 2, p1113-1121, 9p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193167807 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10278-025-01553-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1113 Titles: – TitleFull: Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yeom, Jong Chan – PersonEntity: Name: NameFull: Park, So Hyun – PersonEntity: Name: NameFull: Kim, Young Jae – PersonEntity: Name: NameFull: Ahn, Tae Ran – PersonEntity: Name: NameFull: Kim, Kwang Gi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 29482925 Numbering: – Type: volume Value: 39 – Type: issue Value: 2 Titles: – TitleFull: Journal of Imaging Informatics in Medicine Type: main |
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