Title
A Unified Model-Based Image Analysis Framework for Automated Detection of Precancerous Lesions in Digitized Uterine Cervix Images
Abstract
A unified framework for a fully automated diagnostic system for cervical intraepithelial neoplasia (CIN) is proposed. CIN is a detectable and treatable precursor pathology of cancer of the uterine cervix. Algorithms based on mathematical morphology, and clustering based on Gaussian mixture modeling (GMM) in a joint color and geometric feature space, are used to segment macro regions. A non-paramet...
Year
DOI
Venue
2009
10.1109/JSTSP.2008.2011102
IEEE Journal of Selected Topics in Signal Processing
Keywords
Field
DocType
Image analysis,Lesions,Image color analysis,Image texture analysis,Neoplasms,Cancer detection,Pathology,Cervical cancer,Clustering algorithms,Morphology
Computer vision,Feature vector,Pattern recognition,Segmentation,Mathematical morphology,Computer science,Image texture,Cervical intraepithelial neoplasia,Image segmentation,Artificial intelligence,Cluster analysis,Mixture model
Journal
Volume
Issue
ISSN
3
1
1932-4553
Citations 
PageRank 
References 
4
0.58
9
Authors
5
Name
Order
Citations
PageRank
yeshwanth srinivasan1374.59
Enrique Corona2384.31
Brian Nutter310120.24
Sunanda Mitra425445.17
Sonal Bhattacharya5132.04