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Title: Locating the Optic Nerve in Retinal Images: Comparing Model-Based and Bayesian Decision Methods

Abstract

In this work we compare two methods for automatic optic nerve (ON) localization in retinal imagery. The first method uses a Bayesian decision theory is criminator based on four spatial features of the retina imagery. The second method uses a principal component-based reconstruction to model the ON. We report on an improvement to the model-based technique by incorporating linear discriminant analysis and Bayesian decision theory methods. We explore a method to combine both techniques to produce a composite technique with high accuracy and rapid throughput. Results are shown for a data set of 395 images with 2-fold validation testing.

Authors:
 [1];  [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE; Work for Others (WFO)
OSTI Identifier:
962591
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 28th Annual Inter. Conf. of the IEEE Engineering in Medicine and Biology Society, New York, NY, USA, 20060830, 20060903
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ACCURACY; NERVES; EYES; RETINA; IMAGES; DETECTION; MEASURING METHODS; COMPARATIVE EVALUATIONS

Citation Formats

Karnowski, Thomas Paul, Tobin Jr, Kenneth William, Muthusamy Govindasamy, Vijaya Priya, and Chaum, Edward. Locating the Optic Nerve in Retinal Images: Comparing Model-Based and Bayesian Decision Methods. United States: N. p., 2006. Web.
Karnowski, Thomas Paul, Tobin Jr, Kenneth William, Muthusamy Govindasamy, Vijaya Priya, & Chaum, Edward. Locating the Optic Nerve in Retinal Images: Comparing Model-Based and Bayesian Decision Methods. United States.
Karnowski, Thomas Paul, Tobin Jr, Kenneth William, Muthusamy Govindasamy, Vijaya Priya, and Chaum, Edward. Sun . "Locating the Optic Nerve in Retinal Images: Comparing Model-Based and Bayesian Decision Methods". United States. doi:.
@article{osti_962591,
title = {Locating the Optic Nerve in Retinal Images: Comparing Model-Based and Bayesian Decision Methods},
author = {Karnowski, Thomas Paul and Tobin Jr, Kenneth William and Muthusamy Govindasamy, Vijaya Priya and Chaum, Edward},
abstractNote = {In this work we compare two methods for automatic optic nerve (ON) localization in retinal imagery. The first method uses a Bayesian decision theory is criminator based on four spatial features of the retina imagery. The second method uses a principal component-based reconstruction to model the ON. We report on an improvement to the model-based technique by incorporating linear discriminant analysis and Bayesian decision theory methods. We explore a method to combine both techniques to produce a composite technique with high accuracy and rapid throughput. Results are shown for a data set of 395 images with 2-fold validation testing.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}

Conference:
Other availability
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