Convolutional neural network performance for sella turcica segmentation and classification using cbct images

HIGHLIGHTS

• who: u015euayip Burak Duman et al. from the Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University, Malatya, Turkey have published the research work: Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images, in the Journal: Diagnostics 2022, 12, 2244. of /2022/
• what: This study aims to validate the diagnostic performance and evaluate the reliability of an artificial intelligence system based on the convolutional neural network method for the morphological classification of sella turcica in CBCT (cone-beam computed tomography) images. In this study on lateral cephalometric radiographs, a . . .
  

   

  

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