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

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

Abstract Thyroid disease classification is a critical challenge in medical diagnostics, requiring accurate differentiation between hyperthyroidism, hypothyroidism, and normal thyroid function. This study introduces an advanced machine learning approach that integrates generative adversarial networks...

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Bibliographic Details
Main Authors: Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
KAN
MixUp
GANs
Three-class classification problem
Online Access:https://doi.org/10.1186/s12911-025-03014-7
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