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Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images.

İbrahim Şevki BayrakdarNermin Sameh ElfayomeReham Ashraf HussienIbrahim Tevfik GulsenAlican KuranIhsan GunesAlwaleed Al-BadrOzer CelikKaan Orhan
Published in: Dento maxillo facial radiology (2024)
Models based on nnU-Net v2 demonstrate the ability to segment the MS autonomously and accurately in CBCT images.
Keyphrases
  • cone beam computed tomography
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • big data
  • machine learning
  • mass spectrometry
  • multiple sclerosis
  • ms ms