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Photonics 2018, 5(4), 57; https://doi.org/10.3390/photonics5040057

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

1
Department of Physics, IIT Kanpur, Kanpur 208016, India
2
Department of Obstetrics & Gynaecology, GSVM Medical College Kanpur, Kanpur 208002, India
3
Department of Pathology, LPS Institute of Cadiology, Kanpur 208019, India
4
Centre for Lasers and Photonics, IIT Kanpur, Kanpur 208016, India
*
Author to whom correspondence should be addressed.
Received: 15 October 2018 / Revised: 19 November 2018 / Accepted: 26 November 2018 / Published: 10 December 2018
(This article belongs to the Special Issue Biomedical Photonics Advances)
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Abstract

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 cervical tissue samples, obtained ex-vivo. The fast and slow components of double exponential fitted fluorescence lifetimes were found to be higher for EH compared to the lifetimes of CIN-I samples. Application of PCA to the average time-resolved fluorescence decay profiles showed that the 2nd PC, in combination with 1st PC, enhanced the discrimination between EH and CIN-I tissues. Fluorescence lifetime and PC scores were then classified separately by using SVM support vector machine to identify the two. On applying SVM to a combination of fluorescence lifetime and PC scores, diagnostic capability improved significantly. View Full-Text
Keywords: fluorescence lifetime; PCA; PC scores; SVM fluorescence lifetime; PCA; PC scores; SVM
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Sahoo, G.R.; Singh, P.; Pandey, K.; Kala, C.; Pradhan, A. Improving Diagnosis of Cervical Pre-Cancer: Combination of PCA and SVM Applied on Fluorescence Lifetime Images. Photonics 2018, 5, 57.

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