DocumentCode
2207991
Title
Fast pruned dental caries classifiers
Author
El-Sharkawy, Mohamed ; Bansal, Anurag ; Analoui, Mostafa ; Gundrum, Harry
Author_Institution
Purdue Univ., Indianapolis, IN, USA
Volume
2
fYear
1995
fDate
13-16 Aug 1995
Firstpage
1070
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MWSCAS.1995.510279
Filename
510279
Link To Document