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Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scans.

Sina WalluscheckAnnika GerkenIvana GalinovicKersten VillringerJochen B FiebachJan KleinStefan Heldmann
Published in: Journal of medical imaging (Bellingham, Wash.) (2024)
Without defining anomalies during training, a GAN-based network was used to learn healthy anatomy for brain CT scans. Notably, our approach is not limited to the localization of hemorrhages and tumors and could thus be used to detect structural anatomical changes and other lesions.
Keyphrases
  • dual energy
  • computed tomography
  • contrast enhanced
  • image quality
  • white matter
  • resting state
  • positron emission tomography
  • magnetic resonance imaging
  • cerebral ischemia
  • magnetic resonance
  • multiple sclerosis