GISentinel: A software platform for automatic ulcer detection on capsule endoscopy videos

Steven Yi, Heng Jiao, Fan Meng, Jonathon A. Leighton, Pasha Shabana, Lauri Rentz

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

Abstract

In this paper, we present a novel and clinically valuable software platform for automatic ulcer detection on gastrointestinal (GI) tract from Capsule Endoscopy (CE) videos. Typical CE videos take about 8 hours. They have to be reviewed manually by physicians to detect and locate diseases such as ulcers and bleedings. The process is time consuming. Moreover, because of the long-time manual review, it is easy to lead to miss-finding. Working with our collaborators, we were focusing on developing a software platform called GISentinel, which can fully automated GI tract ulcer detection and classification. This software includes 3 parts: the frequency based Log-Gabor filter regions of interest (ROI) extraction, the unique feature selection and validation method (e.g. illumination invariant feature, color independent features, and symmetrical texture features), and the cascade SVM classification for handling "ulcer vs. non-ulcer" cases. After the experiments, this SW gave descent results. In frame-wise, the ulcer detection rate is 69.65% (319/458). In instance-wise, the ulcer detection rate is 82.35%(28/34).The false alarm rate is 16.43% (34/207). This work is a part of our innovative 2D/3D based GI tract disease detection software platform. The final goal of this SW is to find and classification of major GI tract diseases intelligently, such as bleeding, ulcer, and polyp from the CE videos. This paper will mainly describe the automatic ulcer detection functional module.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationComputer-Aided Diagnosis
PublisherSPIE
ISBN (Print)9780819498281
DOIs
StatePublished - Jan 1 2014
EventMedical Imaging 2014: Computer-Aided Diagnosis - San Diego, CA, United States
Duration: Feb 18 2014Feb 20 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9035
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Computer-Aided Diagnosis
CountryUnited States
CitySan Diego, CA
Period2/18/142/20/14

Keywords

  • And false alarm
  • Automatic ulcer detection
  • CE imaging
  • Capsule endoscopy
  • Disease detection
  • Miss-detection
  • Ulcer classification

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Yi, S., Jiao, H., Meng, F., Leighton, J. A., Shabana, P., & Rentz, L. (2014). GISentinel: A software platform for automatic ulcer detection on capsule endoscopy videos. In Medical Imaging 2014: Computer-Aided Diagnosis [90352Y] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9035). SPIE. https://doi.org/10.1117/12.2042369