Fast pruned dental caries classifiers

Abstract

In this paper, we propose two new algorithms that use the pruned fast Fourier transform to generate the input to a backpropagation neural network of a dental caries classifier. The proposed systems eliminate the generation of digital sampling detector lookup table and the extraction of spectral feature vectors using the digital sampling detector. The proposed algorithms greatly reduced the number of complex multiplications and improved the speed-up factors.