UNSUPERVISED SEGMENTATION OF COLLAGEN FIBER DISTRIBUTION IN DIFFERENT STAGES OF OSF-Reference-Cited by-同舟云学术

UNSUPERVISED SEGMENTATION OF COLLAGEN FIBER DISTRIBUTION IN DIFFERENT STAGES OF OSF

Published:2010-03 Issue:01 Volume:18 Page:109-127
ISSN:0218-3390
Container-title:Journal of Biological Systems
language:en
Short-container-title:J. Biol. Syst.

Author:

RAY TATHAGATA¹,CHATTERJEE JYOTIRMOY²,MUKHERJEE ANIRBAN¹,PAL MOUSUMI³,CHAUDHURI KEYA⁴,PAUL RANJAN RASHMI³,DUTTA PRANAB K.¹

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology, Kharagpur 721302, W.B., India

2. School of Medical Science and Technology, Indian Institute of Technology, Kharagpur 721302, W.B., India

3. Department of Oral and Maxillofacial Pathology, Gurunank Institute of Dental Science and Research, Panihati, Kolkata 700114, W.B., India

4. Molecular and Human Genetics Division, Indian Institute of Chemical Biology, Kolkata 700032, India

Abstract

The objective of this paper is to describe the comparative efficacy of three signal processing-based feature extraction methodologies for classifying normal oral mucosa, early and advanced stages of Oral Submucous Fibrosis (OSF) by unsupervised segmentation of sub-epithelial collagen fibers. Wavelet and discrete cosine transform (DCT) based energy features are extracted from Transmission Electron Micrographs (TEM) of collagen fibers of different stages of OSF in non overlapping blocks which in turn are classified by fuzzy c-means clustering. The overall efficacy of DCT-based features have been found better in comparison to its wavelet-based counterpart.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Ecology,Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Ecology

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218339010003184

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