A neural network-based detection of bleeding in sequences of WCE images

Author

Bourbakis, N. ; Makrogiannis, S. ; Kavraki, D.

Author_Institution

AIIS Inc., New York, NY, USA

fYear

2005

fDate

19-21 Oct. 2005

Firstpage

324

Lastpage

327

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.

Keywords

blood; endoscopes; image sequences; medical image processing; neural nets; WCE image sequences; bleeding detection; neural network; red blood identification system; Blood; Endoscopes; Gastrointestinal tract; Hemorrhaging; Intelligent networks; Intestines; Neural networks; Phase estimation; Testing; Video recording; Bleeding Detection; Neural nets; WCE images;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Bioengineering, 2005. BIBE 2005. Fifth IEEE Symposium on

Print_ISBN

0-7695-2476-1

Type

conf

DOI

10.1109/BIBE.2005.6

Filename

1544490

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2583460