Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models.

Journal: Dento maxillo facial radiology
PMID: 39563402

Abstract

OBJECTIVES: To compare the performance of the convolutional neural network (CNN) with the vision transformer (ViT), and the gated multilayer perceptron (gMLP) in the classification of radiographic images of dental structures.

Authors

  • Fara A Fernandes
    Department of Information and Communication Technology, University of Agder (UiA), 4879 Grimstad, Norway.
  • Mouzhi Ge
    Faculty European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT), 84347 Pfarrkirchen, Germany.
  • Georgi Chaltikyan
    Faculty European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT), 84347 Pfarrkirchen, Germany.
  • Martin W Gerdes
    Department of Information and Communication Technology, Centre for e-Health, University of Agder, 4604 Kristiansand, Norway.
  • Christian W Omlin
    Department of Information and Communication Technologies, Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway.

Keywords

External Resources

Popular Topics
Recent Journals