Efficient semi-automatic segmentation of liver-tumors from CT-scans with interactive refinement

Bernhard Seidl, Nikita Shevchenko, Tim Christian Lueth

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

1 Scopus citations

Abstract

This article presents a fast and efficient method for segmentation of liver tumors. The main focus of attention was set to comply with limitations in terms of runtime, hardware requirements and intuitive usability by the surgeon. Therefore a simple Region-Growing approach was considered which is satisfactory for liver-metastases, a frequent disease pattern. In order to achieve a high level of reliability, automated and optimized user correction possibilities were implemented.

Original languageEnglish
Title of host publicationProceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011
Pages310-315
Number of pages6
DOIs
StatePublished - 2011
EventIASTED International Conference on Biomedical Engineering, Biomed 2011 - Innsbruck, Austria
Duration: 16 Feb 201118 Feb 2011

Publication series

NameProceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011

Conference

ConferenceIASTED International Conference on Biomedical Engineering, Biomed 2011
Country/TerritoryAustria
CityInnsbruck
Period16/02/1118/02/11

Keywords

  • Computed tomography
  • Medical image processing
  • Tumor segmentation

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