Advancing medical imaging with GAN-based anomaly detection
Nabila Ounasser,
Maryem Rhanoui,
Mounia Mikram
et al.
Abstract:Anomaly detection in medical imaging is a complex challenge, exacerbated by limited annotated data. Recent advancements in generative adversarial networks (GANs) offer potential solutions, yet their effectiveness in medical imaging remains largely uncharted. We conducted a targeted exploration of the benefits and constraints associated with GAN-based anomaly detection techniques. Our investigations encompassed experiments employing eight anomaly detection methods on three medical imaging datasets representing … Show more
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