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Photonics 2018, 5(4), 57;

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

Department of Physics, IIT Kanpur, Kanpur 208016, India
Department of Obstetrics & Gynaecology, GSVM Medical College Kanpur, Kanpur 208002, India
Department of Pathology, LPS Institute of Cadiology, Kanpur 208019, India
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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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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