Research Papers: Imaging

Automatic blood detection in capsule endoscopy video

[+] Author Affiliations
Adam Novozámský, Jan Flusser

Institute of Information Theory and Automation, The Czech Academy of Sciences, Pod vodárenskou veží 4, 182 08 Prague 8, Czech Republic

Ilja Tachecí, Jan Bureš

Charles University, Second Department of Internal Medicine-Gastroenterology, Faculty of Medicine and University Hospital, Sokolská 581, Hradec Králové 500 05, Czech Republic

Lukáš Sulík, Ondřej Krejcar

University of Hradec Králové, Center for Basic and Applied Research, Faculty of Informatics and Management, Hradecká 1249, Hradec Králové 500 03, Czech Republic

J. Biomed. Opt. 21(12), 126007 (Dec 09, 2016). doi:10.1117/1.JBO.21.12.126007
History: Received July 1, 2016; Accepted November 17, 2016
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Abstract.  We propose two automatic methods for detecting bleeding in wireless capsule endoscopy videos of the small intestine. The first one uses solely the color information, whereas the second one incorporates the assumptions about the blood spot shape and size. The original idea is namely the definition of a new color space that provides good separability of blood pixels and intestinal wall. Both methods can be applied either individually or their results can be fused together for the final decision. We evaluate their individual performance and various fusion rules on real data, manually annotated by an endoscopist.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Blood ; Endoscopy ; Video

Citation

Adam Novozámský ; Jan Flusser ; Ilja Tachecí ; Lukáš Sulík ; Jan Bureš, et al.
"Automatic blood detection in capsule endoscopy video", J. Biomed. Opt. 21(12), 126007 (Dec 09, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.12.126007


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