Title :
Fast pruned dental caries classifiers
Author :
El-Sharkawy, Mohamed ; Bansal, Anurag ; Analoui, Mostafa ; Gundrum, Harry
Author_Institution :
Purdue Univ., Indianapolis, IN, USA
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
Keywords :
backpropagation; fast Fourier transforms; image classification; medical image processing; neural nets; algorithm; backpropagation neural network; classification; dental caries; pruned fast Fourier transform; Dentistry; Detectors; Diagnostic radiography; Fast Fourier transforms; Fluorescence; Lesions; Minerals; Neural networks; Sampling methods; Teeth;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.510279
