Improving Diagnosis of Cervical Pre-Cancer: Combination of PCA and SVM Applied on Fluorescence Lifetime Images

Improving Diagnosis of Cervical Pre-Cancer: Combination of PCA and SVM Applied on Fluorescence Lifetime Images

We report a significant improvement in the diagnosis of cervical cancer through a combined application of principal component analysis (PCA) and support vector machine (SVM) on the average fluorescence decay profile of Fluorescence Lifetime Images (FLI) of epithelial hyperplasia (EH) and CIN-I cervi...

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Bibliographic Details
Main Authors: Gyana Ranjan Sahoo, Pankaj Singh, Kiran Pandey, Chayanika Kala, Asima Pradhan
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Photonics
Subjects:
fluorescence lifetime
PCA
PC scores
SVM
Online Access:https://www.mdpi.com/2304-6732/5/4/57

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