Towards Segmentation of the Upper Abdomen using a Multi-Object Active Shape Model

S. T. Gollmer, M. Simon, A. Bischof, J. Barkhausen, T. M. Buzug

Abstract

The upper abdomen presents a wide spectrum of different medical diagnoses. Surgery is a frequently used treatment ap-proach that requires an appropriate pre-surgical planning. At this, an automatic segmentation scheme is obligatory and can be solved using Active Shape Models (ASMs). Whilst the segmentation of individual organs (e.g. liver) is a well-studied problem, our approach is a more holistic one that aims at exploiting inter-organ relationships to segment a com-plex of organs.
Original languageEnglish
JournalBiomedizinische Technik
Volume57
Issue numberSI-1 Track-B
Number of pages1
ISSN0013-5585
DOIs
Publication statusPublished - 01.01.2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

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