Abstract
A medical digital video library can contain numerous bronchoscopy video sequences. Searching such database is very difficult and can take lots of time of a medical specialist. Therefore, automatic searching algorithms should support such a task. In this paper we presented two models supporting automatic detection of bleeding and mucosal pallor. Both models are based on MPEG-7 descriptors and both were built with a scoring model. The presented ROC plots show that the obtained results can be very helpful in a real system.
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Janowski, L., Duplaga, M., Suwada, K. (2010). Using MPEG-7 Descriptors and Scoring Model to Automatically Recognize Medical Events in the Record of Bronchoscopy Video. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_54
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DOI: https://doi.org/10.1007/978-3-642-13105-9_54
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