ICRA'09 Paper Abstract


Paper FrD2.4

Bejakovic, Srdan (Johns Hopkins University), Kumar, Rajesh (Johns Hopkins University), Dassopoulos, Themistocles (Washington University in Saint Louis), Mullin, Gerard (Johns Hopkins), Hager, Gregory (Johns Hopkins University)

Analysis of Crohn’s Disease Lesions in Capsule Endoscopy Images

Scheduled for presentation during the Regular Sessions "Computer Vision for Robotics and Automation - V" (FrD2), Friday, May 15, 2009, 16:30−16:50, Room: ICR

2009 IEEE International Conference on Robotics and Automation, May 12 - 17, 2009, Kobe, Japan

This information is tentative and subject to change. Compiled on January 21, 2022

Keywords Computer Vision for Robotics and Automation


Capsule endoscopy (CE) is aimed at diagnosing disease in areas of the gastrointestinal (GI) tract beyond the reach of conventional endoscopy. Recent work has addressed various methods for reducing the complexity of CE diagnosis and the time needed for analyzing the data. This includes detection of lumen and its contractions, fluids such as blood and intestinal juices, as well as extraneous matter such as food and bubbles. This paper outlines our ongoing work to segment lesions (in particular Crohn’s disease) and other abnormalities in CE images. In particular, here we describe the data collection and clinical analysis for our project and preliminary results for segmenting abnormal and extraneous images from a set of 10 CE studies.



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