Towards integrating temporal information in capsule endoscopy image analysis

Qian Zhao, Themistocles Dassopoulos, Gerard Mullin, Greg Hager, Max Q.H. Meng, Rajesh Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analysis of Wireless Capsule Endoscopy (CE) images has become a very active area of research since this novel technology enabled access to previously inaccessible areas of the gastrointestinal tract, especially the small intestine. Art has investigated automatic segmentation of organ boundaries, detection of lesions and bleeding as well as other supervised and unsupervised analysis. However, all of this art has focused on treating the images as individual and independent observations that contribute towards a unique and separate decision. Given the overlap between the images, this is clearly not the case. A human, by contrast, performs assessment by combining the information seen in all neighboring views of the anatomy in a study. This article makes two significant contributions. Towards combining information from multiple images, we propose a supervised classification approach using an HMM framework. Secondly, we use a weak (k-NN) classifier to prototype and evaluate such a framework for regions of the GI tract containing polyps. The combined framework significantly improves the performance of the individual classifier and experiments show promising performance with accuracy 0.9.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages6627-6630
Number of pages4
DOIs
StatePublished - Dec 26 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Zhao, Q., Dassopoulos, T., Mullin, G., Hager, G., Meng, M. Q. H., & Kumar, R. (2011). Towards integrating temporal information in capsule endoscopy image analysis. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 6627-6630). [6091634] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091634