Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification.
Saved in:
| Title: | Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification. |
|---|---|
| Authors: | Topşir A; Department of Industrial Engineering, Yıldız Technical University, Davutpaşa, İstanbul, 34220, Türkiye., Güler F; Department of Data Science and Analytics, Giresun University, Giresun, Türkiye., Çetin E; Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA., Burak MF; Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA., Ağraz M; Department of Data Science and Analytics, Giresun University, Giresun, Türkiye. melih.agraz@giresun.edu.tr.; Department of Medicine, Brown University, Providence, RI, USA. melih.agraz@giresun.edu.tr.; Division of Cardiology, Brown University Health, Providence, RI, USA. melih.agraz@giresun.edu.tr. |
| Source: | BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Jul 31; Vol. 25 (1), pp. 284. Date of Electronic Publication: 2025 Jul 31. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40745644 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Topşir+A%22">Topşir A</searchLink>; Department of Industrial Engineering, Yıldız Technical University, Davutpaşa, İstanbul, 34220, Türkiye.<br /><searchLink fieldCode="AU" term="%22Güler+F%22">Güler F</searchLink>; Department of Data Science and Analytics, Giresun University, Giresun, Türkiye.<br /><searchLink fieldCode="AU" term="%22Çetin+E%22">Çetin E</searchLink>; Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Burak+MF%22">Burak MF</searchLink>; Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Ağraz+M%22">Ağraz M</searchLink>; Department of Data Science and Analytics, Giresun University, Giresun, Türkiye. melih.agraz@giresun.edu.tr.; Department of Medicine, Brown University, Providence, RI, USA. melih.agraz@giresun.edu.tr.; Division of Cardiology, Brown University Health, Providence, RI, USA. melih.agraz@giresun.edu.tr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2025 Jul 31; Vol. 25 (1), pp. 284. <i>Date of Electronic Publication: </i>2025 Jul 31. – 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="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40745644 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12911-025-03014-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 284 Titles: – TitleFull: Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Topşir A – PersonEntity: Name: NameFull: Güler F – PersonEntity: Name: NameFull: Çetin E – PersonEntity: Name: NameFull: Burak MF – PersonEntity: Name: NameFull: Ağraz M IsPartOfRelationships: – BibEntity: Dates: – D: 31 M: 07 Text: 2025 Jul 31 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1472-6947 Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: BMC medical informatics and decision making Type: main |
| ResultId | 1 |