A Neural Network-Based Detection of Bleeding in Sequences of WCE Images

Authors:
N. Bourbakis;S. Makrogiannis;D. Kavraki
Affiliations:
AIIS Inc. and Wright State University;Wright State University;AIIS Inc.
Venue:
BIBE '05 Proceedings of the Fifth IEEE Symposium on Bioinformatics and Bioengineering
Year:
2005

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Abstract

This paper deals with development of a methodology for detecting bleeding in WCE images. The presented methodology is based on a Neural Net model available in the AIIS Inc. and the results of this methods were tested at the AT research lab. The performance of our method offers promising results in comparison with the ones made by the Given imaging RBIS (Red Blood Identification System), which vary from 21% to 41%. Our method is under improvements and the expected results will reach near 80% or more.