期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2017
卷号：15
页码：255-264
DOI：10.1016/j.csbj.2017.02.001
语种：
出版社：Computational and Structural Biotechnology Journal
摘要：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.
关键词：Dynamic programming ; Active contours ; Energy minimization ; Shortest path ; Segmentation ; Contour detection
