19 May 2016 Optical diagnosis of colon and cervical cancer by support vector machine
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sabyasachi Mukhopadhyay, Sabyasachi Mukhopadhyay, Indrajit Kurmi, Indrajit Kurmi, Rajib Dey, Rajib Dey, Nandan K. Das, Nandan K. Das, Sanjay Pradhan, Sanjay Pradhan, Asima Pradhan, Asima Pradhan, Nirmalya Ghosh, Nirmalya Ghosh, Prasanta K. Panigrahi, Prasanta K. Panigrahi, Samarendra Mohanty, 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); doi: 10.1117/12.2227316; https://doi.org/10.1117/12.2227316

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