Machine Learning for Dental Image Analysis

2016/11/30 by Young-jun Yu, Yu, Young-jun
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML

paper · pdf · doi:10.48550/arxiv.1611.09958

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

arxiv created 2016/12/02 · arxiv updated 2016/12/05

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).

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