On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation

S. Nagy, Ferenc Lilik, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Polyps in the colorectal part of the bowel appear often, and in many cases these polyps can develop into malign lesions, such as cancer. Colonoscopy is the most efficient way to study the inner surface of the colorectum, and doctors usually are able to detect polyps on a motion picture diagnostic session. However, it is useful to have an automated tool that can help drawing attention to given parts of the image, and later a method for classification the polyps can also be developed. Statistical properties of the colour channels of the images are used as antecedents for a fuzzy decision system, together with edge densities and Renyi entropies-based structural entropy. However promising the processed images are, the variation in the preparation of the diagnosis as well as the practice of the operating personnel can lead to images with significantly different noise and distortion level, thus detecting the polyp can be complicated. In the following considerations image groups are presented that have similarities from the polyp detection point of view, and those type of images are also given, which can spoil a well prepared detecting system.

LanguageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages23-33
Number of pages11
DOIs
Publication statusPublished - Jan 1 2019

Publication series

NameStudies in Computational Intelligence
Volume796
ISSN (Print)1860-949X

Fingerprint

Interpolation
Entropy
Motion pictures
Personnel
Color

Keywords

  • Colorectal polyp
  • Fuzzy inference
  • Fuzzy rule interpolation
  • Image segmentation

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Nagy, S., Lilik, F., & Kóczy, L. (2019). On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation. In Studies in Computational Intelligence (pp. 23-33). (Studies in Computational Intelligence; Vol. 796). Springer Verlag. https://doi.org/10.1007/978-3-030-00485-9_3

On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation. / Nagy, S.; Lilik, Ferenc; Kóczy, L.

Studies in Computational Intelligence. Springer Verlag, 2019. p. 23-33 (Studies in Computational Intelligence; Vol. 796).

Research output: Chapter in Book/Report/Conference proceedingChapter

Nagy, S, Lilik, F & Kóczy, L 2019, On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation. in Studies in Computational Intelligence. Studies in Computational Intelligence, vol. 796, Springer Verlag, pp. 23-33. https://doi.org/10.1007/978-3-030-00485-9_3
Nagy S, Lilik F, Kóczy L. On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation. In Studies in Computational Intelligence. Springer Verlag. 2019. p. 23-33. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-00485-9_3
Nagy, S. ; Lilik, Ferenc ; Kóczy, L. / On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation. Studies in Computational Intelligence. Springer Verlag, 2019. pp. 23-33 (Studies in Computational Intelligence).
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