Abstract
Wireless Capsule Endoscopy (WCE) is the latest technology able to screen intestinal anomalies at early stage. Although its convenience to the patient and its effectiveness to show small intestinal details, the physician diagnosis remains not straight forward and time consuming. Thus, a computer aid diagnosis would be helpful. In this paper, we focus on The Multiple Bleeding Spots (MBS) anomaly. We propose to conduct an empirical evaluation of four feature descriptors in a the challenging problem of MBS recognition on WCE video using the SVM classifier. The performance of the four descriptors is based on the assessment of the performance of the output of the SVM classifier.
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Alotaibi, S., Qasim, S., Bchir, O., Ben Ismail, M.M. (2013). Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_50
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DOI: https://doi.org/10.1007/978-3-642-40246-3_50
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