Augmenting Capsule Endoscopy Diagnosis: A Similarity Learning Approach

  title={Augmenting Capsule Endoscopy Diagnosis: A Similarity Learning Approach},
  author={Sharmishtaa Seshamani and Rajesh Kumar and Themistocles Dassopoulos and Gerard Mullin and Gregory D. Hager},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  volume={13 Pt 2},
The current procedure for diagnosis of Crohn's disease (CD) from Capsule Endoscopy is a tedious manual process which requires the clinician to visually inspect large video sequences for matching and categorization of diseased areas (lesions). Automated methods for matching and classification can help improve this process by reducing diagnosis time and improving consistency of categorization. In this paper, we propose a novel SVM-based similarity learning method for distinguishing between… CONTINUE READING


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Publications referenced by this paper.
Showing 1-10 of 13 references

Color and texture descriptors

IEEE Trans. Circuits Syst. Video Techn. • 2001
View 5 Excerpts
Highly Influenced

Wireless capsule endoscopy.

View 3 Excerpts
Highly Influenced

Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 2 Excerpts

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