Paper
20 March 2017 Optical diagnosis of cervical cancer by intrinsic mode functions
Sabyasachi Mukhopadhyay, Sawon Pratiher, Souvik Pratiher, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi
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Abstract
In this paper, we make use of the empirical mode decomposition (EMD) to discriminate the cervical cancer tissues from normal ones based on elastic scattering spectroscopy. The phase space has been reconstructed through decomposing the optical signal into a finite set of bandlimited signals known as intrinsic mode functions (IMFs). It has been shown that the area measure of the analytic IMFs provides a good discrimination performance. Simulation results validate the efficacy of the IMFs followed by SVM based classification.
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Sabyasachi Mukhopadhyay, Sawon Pratiher, Souvik Pratiher, Asima Pradhan, Nirmalya Ghosh, and Prasanta K. Panigrahi "Optical diagnosis of cervical cancer by intrinsic mode functions", Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 100630V (20 March 2017); https://doi.org/10.1117/12.2251225
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Cited by 1 scholarly publication.
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KEYWORDS
Cervical cancer

Scattering

Cancer

Analytical research

Data modeling

Signal analyzers

Machine learning

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