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Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05)
A Neural Network-Based Detection of Bleeding in Sequences of WCE Images
Minneapolis, Minnesota
October 19-October 21
ISBN: 0-7695-2476-1
N. Bourbakis, AIIS Inc. and Wright State University
S. Makrogiannis, Wright State University
D. Kavraki, AIIS Inc.
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.
Index Terms:
Neural nets, Bleeding Detection; WCE images
Citation:
N. Bourbakis, S. Makrogiannis, D. Kavraki, "A Neural Network-Based Detection of Bleeding in Sequences of WCE Images," bibe, pp.324-327, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05), 2005
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