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Machine Learning for Dental Image Analysis

Machine Learning 2016-12-05 v2 Computer Vision and Pattern Recognition Machine Learning

Abstract

In order to study the application of artificial intelligence (AI) to dental imaging, we applied AI technology to classify a set of panoramic radiographs using (a) a convolutional neural network (CNN) which is a form of an artificial neural network (ANN), (b) representative image cognition algorithms that implement scale-invariant feature transform (SIFT), and (c) histogram of oriented gradients (HOG).

Cite

@article{arxiv.1611.09958,
  title  = {Machine Learning for Dental Image Analysis},
  author = {Young-jun Yu},
  journal= {arXiv preprint arXiv:1611.09958},
  year   = {2016}
}

Comments

This study was reviewed and approved by the institutional review board of the Pusan National University Dental Hospital (PNUPH-2015-034)

R2 v1 2026-06-22T17:08:52.029Z