Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions

@article{Spyridonos2006AnisotropicFE,
  title={Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions},
  author={Panagiota Spyridonos and Fernando Vilari{\~n}o and Jordi Vitri{\`a} and Fernando Azpiroz and Petia Radeva},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2006},
  volume={9 Pt 2},
  pages={161-8}
}
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of contractions and to analyze the intestine motility. Feature extraction is essential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of contraction features. In particular, we apply the image gradient tensor for mining… CONTINUE READING
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Intelligent systems for computer-assisted clinical endoscopic image analysis

  • M. Boulougoura, V. Wadge, V. S. Kodogiannis, H. S. Chowdrey
  • Proceedings of the 2nd IASTED Conference on…
  • 2005
1 Excerpt

Multi-network classification scheme for computer-aided diagnosis in clinical endoscopy

  • V. S. Kodogiannis, H. S. Chowdrey
  • Proceedings of the International Conference on…
  • 2004
1 Excerpt

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