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Principal Component Analysis and Artificial Neural Network Analysis of Oral Tissue Fluorescence Spectra: Classification of Normal Premalignant and Malignant Pathological Conditions

Nayak, Subramanya G and Kamath, Sudha D and Pai, Keerthilatha M and Sarkar, Arindam and Ray, Satadru and Kurien, Jacob and D’Almeida, Lawrence and Krishnanand, BR and Santhosh, C and Kartha, V B and Mahato, K K (2006) Principal Component Analysis and Artificial Neural Network Analysis of Oral Tissue Fluorescence Spectra: Classification of Normal Premalignant and Malignant Pathological Conditions. Biopolymers, 82 (2). pp. 152-166.

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Abstract

Pulsed laser-induced autofluorescence spectroscopic studies of pathologically certified normal, premalignant, and malignant oral tissues were carried out at 325 nm excitation. The spectral analysis and classification for discrimination among normal, premalignant, and malignant conditions were performed using principal component analysis (PCA) and artificial neural network (ANN) separately on the same set of spectral data. In case of PCA, spectral residuals, Mahalanobis distance, and scores of factors were used for discrimination among normal, premalignant, and malignant cases. In ANN, parameters like mean, spectral residual, standard deviation, and total energy were used to train the network. The ANN used in this study is a classicalmultiplayer feed-forward type with a back-propagation algorithm for the training of the network. The specificity and sensitivity were determined in both classification schemes. In the case of PCA, they are 100 and 92.9%, respectively, whereas for ANN they are 100 and 96.5% for the data set considered.

Item Type: Article
Additional Information: 2006 Wiley Periodicals, Inc.
Uncontrolled Keywords: oral tissue; laser-induced fluorescence; principal component analysis; artificial neural network
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 27 Jul 2011 06:14
Last Modified: 03 Jun 2014 06:55
URI: http://eprints.manipal.edu/id/eprint/950

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