Texture segmentation of endometrial images for aiding diagnosis of hyperplasia

B. Sharif, A. Ahmadian, M. A. Oghabian, N. Izadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The process of discriminating among benign and malignant hyperplasia begun with subjective methods using light microscopy and now is continuing with computerized morphometrical analysis that needs some features. One of the main features called Volume Percentage of Stroma (VPS) is gained by calculating the percentage of stroma texture. Currently, this feature is calculated by pathologists on a manual basis. The algorithm here can automatically calculate VPS with a good precision. In this paper we proposed a method for segmentation of this texture based on Gabor wavelets and mathematical morphology. Gabor wavelets attain maximum joint space-frequency resolution which is highly significant in the process of texture segmentation. The ability of Gabor filters in discrimination of texture bands at different scales and orientations has been used to segment stroma texture which is mainly located in middle frequency bands from glandular elements. The proposed procedure could be the first and essential step of diagnosing endometrial hyperplasia in pathology.

Original languageBritish English
Title of host publicationEUROCON 2005 - The International Conference on Computer as a Tool
PublisherIEEE Computer Society
Pages983-986
Number of pages4
ISBN (Print)142440049X, 9781424400492
DOIs
StatePublished - 2005
EventEUROCON 2005 - The International Conference on Computer as a Tool - Belgrade
Duration: 21 Nov 200524 Nov 2005

Publication series

NameEUROCON 2005 - The International Conference on Computer as a Tool
VolumeII

Conference

ConferenceEUROCON 2005 - The International Conference on Computer as a Tool
CityBelgrade
Period21/11/0524/11/05

Keywords

  • Endometrial hyperplasia
  • Gabor wavelet
  • Mathematical morphology
  • Texture segmentation
  • Volume percentage of stroma
  • VPS

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