Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification.

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Bibliographic Details
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
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ISSN:1472-6947
DOI:10.1186/s12911-025-03014-7