Abstract
In this paper we present a new method for tagging image regions using uncertain information granules. This tagging forms an efficient route for the elicitation of knowledge from domain experts with respect to images. We then use this uncertain granular information to train a fuzzy machine learner and then to classify unseen images. This method is particularly suited to applications where expert input into the classification process is essential but where the expert's time is in extremely short supply. Results are presented within the example domain of detecting lung disease from Computed Tomography scans.
| Translated title of the contribution | The rapid elicitation of knowledge about images using fuzzy information granules |
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| Original language | English |
| Title of host publication | IEEE International Conference on Fuzzy sytems, FUZZ-IEEE 2004, Budapest, 25-29 July |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1159 - 1164 |
| Number of pages | 6 |
| Volume | 2 |
| ISBN (Print) | 0780383532 |
| DOIs | |
| Publication status | Published - Jul 2004 |