The rapid elicitation of knowledge about images using fuzzy information granules

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)

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 contributionThe rapid elicitation of knowledge about images using fuzzy information granules
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy sytems, FUZZ-IEEE 2004, Budapest, 25-29 July
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1159 - 1164
Number of pages6
Volume2
ISBN (Print)0780383532
DOIs
Publication statusPublished - Jul 2004

Bibliographical note

Other: http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000330

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    Rossiter, JM. (2004). The rapid elicitation of knowledge about images using fuzzy information granules. In IEEE International Conference on Fuzzy sytems, FUZZ-IEEE 2004, Budapest, 25-29 July (Vol. 2, pp. 1159 - 1164). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/FUZZY.2004.1375575