Lymphangiectasia detection in Wireless Capsule Endoscopy images using Fisher Transform Method

Mahdi Alizadeh, Hoda Eskandari, Kaveh Sharzehi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Finding borders of interests in both normal and abnormal images might be helpful for physician to make decision of an image being normal or abnormal. Also, in some points instead of entire images these detected borders can be considered for processing. In this paper, the author proposed the Fisher Transform Method (FTM) as edge detection method. FTM increases gradient of endoscopy images and then, it will represent better performance rather than traditional methods. The proposed FTM was applied on 21 endoscopic images consist of normal and abnormal images included Lymphangiectasia captured by Wireless Capsule Endoscopy (WCE). The results show that, this method presents a better performance rather than color Canny edge detector. The detection results were validated with ground truth image was drawn by an independent board certified gastroenterologists. The proposed method was detected 96% of borders of Lymphangiectasia and 75% of borders in normal images. In comparison, it was detected 75% and 51% of Lymphangiectasia and normal image borders before using FTM respectively.

Original languageEnglish (US)
Title of host publication2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479983605
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes
Event2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States
Duration: Apr 17 2015Apr 19 2015

Publication series

Name2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Conference

Conference2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
CountryUnited States
CityTroy
Period4/17/154/19/15

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Keywords

  • color Canny edge detector
  • Fisher Transform Method
  • Lymphangiectasia
  • Wireless Capsule Endoscopy

ASJC Scopus subject areas

  • Biotechnology
  • Cancer Research
  • Cell Biology
  • Molecular Medicine
  • Biomedical Engineering
  • Control and Systems Engineering

Cite this

Alizadeh, M., Eskandari, H., & Sharzehi, K. (2015). Lymphangiectasia detection in Wireless Capsule Endoscopy images using Fisher Transform Method. In 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 [7117145] (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEBEC.2015.7117145