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Landmark annotation through feature combinations: a comparative study on cephalometric images with in-depth analysis of model's explainability.

Rashmi SSrinath SPrashanth Sadashiva MurthySeema Deshmukh
Published in: Dento maxillo facial radiology (2024)
The presented analysis enhances the understanding of the significance of different features and their combinations in the realm of landmark annotation but also paves the way for further exploration of landmark-specific feature combination methods, facilitated by explainability.
Keyphrases
  • deep learning
  • machine learning
  • optical coherence tomography
  • rna seq
  • convolutional neural network
  • single cell