NDLI: Morphometric Pattern Analysis of Basal Cell Nuclei for Oral Cancer Screening

Content Provider	IEEE Xplore Digital Library
Author	Shah, P. Krishnan, M.M.R. Chakraborty, C. Ray, A.K.
Copyright Year	2010
Abstract	This work presents a quantitative approach for discrimination of Oral Submucous Fibrosis (OSF) to Normal Oral Mucosa (NOM) in respect to size and shape properties of the basal layer, first layer in epithelium. Practically, basal cells form the proliferative compartment of the epithelium, and therefore changes in the morphometry of basal cells may have serious implications on future cell behavior, including malignant transformation according to onco-pathologists vision. In view of this, the changes in shape and size of the nuclei in the basal cell layer of the oral epithelium have been studied here by developing an automated image analyzer. Geometric, Zernike moments and transformation based features are extracted for morphometric pattern analysis of the nuclei. These features are statistically analyzed along with 3D visualization in order to discriminate the groups. Results showed increase in the dimensions (area and perimeter) and shape parameters of the nuclei from normal mucosa to OSF with dysplasia. Finally, pattern analyzer is employed using Bayesian approach and error back-propagation neural network. The performance is evaluated by partitioning the whole data set into various combinations of training-testing subsets, finally which converge to overall accuracies 97.02% for neural network and 97.93% for Bayesian classifier respectively.
Starting Page	1
Ending Page	4
File Size	600350
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5517397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Shape measurement Bayesian methods Neural networks Biopsy Feature extraction Lesions Pattern analysis Cancer Diseases
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

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