Boundary correction in semi-automated segmentation using scribbling method

Rasyiqah Annani Mohd Rosidi, Aida Syafiqah Ahmad Khaizi, Hong Seng Gan, Hafiz Basarudin

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

Abstract

Boundary correction is an important part in medical image segmentation process. Typically, refinement is needed because current segmentation techniques are not robust enough to cope with great anatomical variation demonstrated in medical image. In this works, we have proposed a boundary refinement method based on scribbling method. For instance, the scribbling based refinement method is based on 'freehand draw' function. Our qualitative result shows that the scribbling refinement technique is highly adaptive to different knee cartilage geometries, which represents a challenge in the study of osteoarthritis. Future works should focus on adding pertinent features to minimize the degree of user intervention during boundary refinement.

Original languageEnglish
Title of host publication2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538618073
DOIs
Publication statusPublished - 15 Dec 2017
Externally publishedYes
Event2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017 - Kuala Lumpur, Malaysia
Duration: 18 Sept 201720 Sept 2017

Publication series

Name2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
Volume2017-January

Conference

Conference2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
Country/TerritoryMalaysia
CityKuala Lumpur
Period18/09/1720/09/17

Keywords

  • Boundary correction
  • Knee cartilage
  • Semi-automated segmentation

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