NDLI: Automated cervical cancer detection using photonic crystal based bio-sensor

Content Provider	IEEE Xplore Digital Library
Author	Nithin, S. Sharma, P. Vivek, M. Sharan, P.
Copyright Year	2015
Description	Author affiliation: Dept. of ECE, Jain Univ., Bangalore, India (Sharma, P.) \|\| Dept. of ECE, Oxford Coll. of Eng., Bangalore, India (Nithin, S.; Vivek, M.; Sharan, P.)
Abstract	In this paper we are going to propose a logic by simulation, that an automatic system for detection of cervical cancer based on spectrum obtained from photonic crystal based bio-sensor, is possible. A 2-dimensional photonic crystal based bio-sensor in a static environment under the influence of electromagnetic radiation, whose range spans from UV to IR, designed to be highly sensitive for the changes in the dielectric constant e under the applied electric and magnetic induction for a set of concentration ranges of the analyte. As the refractive index of normal and cancer infected tissue is inferred, the sensor can easily differentiate normal tissue and cancer infected cervical tissue. The output of the sensor is known to exhibit distinct signatures in the frequency and amplitude spectra even while slight changes in the refractive index of the cervical cell takes place. A machine learning technique Naïve Bayesian classifier is used to distinguish the normal and cancerous tissue spectrum based on automatically extracted parameters of the attributed sensor output. The combined amalgamation of the sensor data and the incorporated automated classification archive into photonic crystal based bio-sensor, achieves better performance in detecting cervical cancer.
Starting Page	1174
Ending Page	1178
File Size	395891
Page Count	5
File Format	PDF
e-ISBN	9781479980475
DOI	10.1109/IADCC.2015.7154888
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	bio-sensor Photonic crystals Machine learning photonic crystal Mathematical model MATLAB Time-domain analysis cervical cancer Cervical cancer Naïve Bayesian classifier
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spectral analysis of photonic crystal based bio-sensor using AdaBoost algorithm

Ultra compact photonic crystal based sensor for detecting bioterrorism

An optical sensor for propagation analysis of Lymphocyte cell for cancer cell detection

Modelling photonic crystal waveguides using finite volume method

Photon dynamics in coupled-cavities in photonic crystal slabs

A label-free photonic crystal based optical gratings for propagation analysis of cancer cells

Texture analysis based facial expression recognition using a bank of Bayesian classifiers

Photonic crystal based sensor for detection of high glucose concentration in urine

Mathematical modeling of waveguiding systems based on photonic crystals

Automated cervical cancer detection using photonic crystal based bio-sensor

Similar Documents

Spectral analysis of photonic crystal based bio-sensor using AdaBoost algorithm

Ultra compact photonic crystal based sensor for detecting bioterrorism

An optical sensor for propagation analysis of Lymphocyte cell for cancer cell detection

Modelling photonic crystal waveguides using finite volume method

Photon dynamics in coupled-cavities in photonic crystal slabs

A label-free photonic crystal based optical gratings for propagation analysis of cancer cells

Texture analysis based facial expression recognition using a bank of Bayesian classifiers

Photonic crystal based sensor for detection of high glucose concentration in urine

Mathematical modeling of waveguiding systems based on photonic crystals

Automated cervical cancer detection using photonic crystal based bio-sensor