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Bibliographic Metadata
- TitleDynamic Programming Based Segmentation in Biomedical Imaging
- Author
- Published
- AnnotationFinanziert durch den Open-Access-Publikationsfonds 2017 der Westfälischen Wilhelms-Universität Münster (WWU Münster).
- LanguageEnglish
- Bibl. ReferenceComputational and Structural Biotechnology Journal 15 (2017), 255–264
- Document typeJournal Article
- Keywords (EN)
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Abstract
Many applications in biomedical imaging have a demand on automatic detection of lines, contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert decisions in interactive applications or to include it as part of a processing pipeline for automatic image analysis. Biomedical images often suffer from noisy data and fuzzy edges. Therefore, there is a need for robust methods for contour and line detection. Dynamic programming is a popular technique that satisfies these requirements in many ways. This work gives a brief overview over approaches and applications that utilize dynamic programming to solve problems in the challenging field of biomedical imaging.
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