Early stage detection of precancer using variational mode decomposition and artificial neural network

Sawon Pratiher; Sabyasachi  Mukhopadhyay; Souvik Hazra; Ritwik Barman; Gautham Pasupuleti; Nirmalya Ghosh; Prasanta K. Panigrahi

doi:10.1117/12.2307278

17 May 2018 Early stage detection of precancer using variational mode decomposition and artificial neural network

Sawon Pratiher, Sabyasachi Mukhopadhyay, Souvik Hazra, Ritwik Barman, Gautham Pasupuleti, Nirmalya Ghosh, Prasanta K. Panigrahi

Author Affiliations +

Proceedings Volume 10685, Biophotonics: Photonic Solutions for Better Health Care VI; 1068523 (2018) https://doi.org/10.1117/12.2307278
Event: SPIE Photonics Europe, 2018, Strasbourg, France

Abstract

In this contribution, combined variational mode decomposition (VMD) aided non-linear feature descriptors & artificial neural network (ANN) for identification of different healthy and precancerous cervical tissues. Owing to the inherent problems of background laser system noise interferences in elastic scattering spectroscopic data, VMD method being noise robust is of paramount interest. VMD is used to decompose the normalized spectral data into 2 modes for analysis and attributes extraction. For each of these VMD separated modes, non-linear entropy and multifractal features, namely Shannon entropy (SE), Renyi entropy (RE), Tsallis entropy (TE) and Singularity spectrum width (SSW) are extracted to form the feature set. The extracted features are subjected to analysis of variance (ANOVA) test for subsequent feature ranking & selection of the statistically most significant features. The designated features are trained with ANN to classify the backscattered tissue spectra into healthy and cancerous ones.

Citation Download Citation

Sawon Pratiher, Sawon Pratiher, Sabyasachi Mukhopadhyay, Sabyasachi Mukhopadhyay, Souvik Hazra, Souvik Hazra, Ritwik Barman, Ritwik Barman, Gautham Pasupuleti, Gautham Pasupuleti, Nirmalya Ghosh, Nirmalya Ghosh, Prasanta K. Panigrahi, Prasanta K. Panigrahi, "Early stage detection of precancer using variational mode decomposition and artificial neural network", Proc. SPIE 10685, Biophotonics: Photonic Solutions for Better Health Care VI, 1068523 (17 May 2018); doi: 10.1117/12.2307278; https://doi.org/10.1117/12.2307278

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years