Optical diagnosis of colon and cervical cancer by support vector machine

Sabyasachi Mukhopadhyay; Indrajit Kurmi; Rajib Dey; Nandan K. Das; Sanjay Pradhan; Asima Pradhan; Nirmalya Ghosh; Prasanta K. Panigrahi; Samarendra Mohanty

doi:10.1117/12.2227316

19 May 2016 Optical diagnosis of colon and cervical cancer by support vector machine

Sabyasachi Mukhopadhyay, Indrajit Kurmi, Rajib Dey, Nandan K. Das, Sanjay Pradhan, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi, Samarendra Mohanty

Author Affiliations +

Proceedings Volume 9887, Biophotonics: Photonic Solutions for Better Health Care V; 98870U (2016) https://doi.org/10.1117/12.2227316
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

Abstract

A probabilistic robust diagnostic algorithm is very much essential for successful cancer diagnosis by optical spectroscopy. We report here support vector machine (SVM) classification to better discriminate the colon and cervical cancer tissues from normal tissues based on elastic scattering spectroscopy. The efficacy of SVM based classification with different kernel has been tested on multifractal parameters like Hurst exponent, singularity spectrum width in order to classify the cancer tissues.

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Sabyasachi Mukhopadhyay, Indrajit Kurmi, Rajib Dey, Nandan K. Das, Sanjay Pradhan, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi, and Samarendra Mohanty "Optical diagnosis of colon and cervical cancer by support vector machine", Proc. SPIE 9887, Biophotonics: Photonic Solutions for Better Health Care V, 98870U (19 May 2016); https://doi.org/10.1117/12.2227316

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