1 publication

• Published Subscription 8 Jan 2026

  SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL

  By HARI KRISHNA A, YOKEYNTRRA S, MAKHAASH M, kiruthiga g

  Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …

  Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article →