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Volume 12 Issue 07
July 2026
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Author(s)
Vijiyalakshmi J Logupriya A Divya J Aarthi S R
Abstract
Generative Adversarial Networks (GANs) Generate Realistic Medical Images, Tackling The Scarcity Of Annotated Datasets In Healthcare. Models Like Conditional GANs And CycleGANs Preserve Essential Clinical Features, Improve Model Generalization, And Enhan
Keywords
Conditional GANs (cGANs)
Deep Learning In Healthcare
Generative Adversarial Networks (GANs)
Medical Image Synthesis
Paper ID
IJSARTV10I11101512
Publication Date
November 21, 2024
Research Area
Artificial Intelligence And Data Science