Article
An Enhanced EfficientNetV2-L Framework for Detecting Deepfake Lung CT Images
2026-08-07
Abstract excerpt
<title>Abstract</title> <p>Authenticity in medical imaging is essential for accurate diagnosis and patient safety, yet recent advances in generative models have introduced risks of deepfake manipulation. This paper presents an enhanced EfficientNetV2-L framework for detecting deepfake lung CT images with improved accuracy and robustness. To strengthen the detection model, a balanced dataset of authentic and synth...
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Identifiers and source
- Literature Corpus work
- 50b89a68-2c3e-52db-9e00-c405e5ea682b
- DOI
- 10.21203/rs.3.rs-6634989/v2
