Medical image segmentation using modified active contour method
| Autor: | Oxana Balabaeva, Evgenii Semenishchev, Svetlana Tokareva, Vladimir Dub, Viacheslav V. Voronin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Active contour model
active contour Computer Networks and Communications Computer science business.industry Segmentation-based object categorization Mechanical Engineering Magnetic Resonance Imaging (MRI) segmentation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Energy Engineering and Power Technology Scale-space segmentation region-based active contour Image segmentation medical images anisotropic gradient Hardware and Architecture Control and Systems Engineering Computer vision Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering Electrical and Electronic Engineering business lcsh:TK1-9971 |
| Zdroj: | Serbian Journal of Electrical Engineering, Vol 14, Iss 3, Pp 401-413 (2017) |
| ISSN: | 2217-7183 1451-4869 |
| Popis: | Image data is of major practical importance in medical informatics. Accurate segmentation of medical images largely determines the final result of image analysis, which provides significant information for 3D visualization, surgical planning and early detection of diseases. In this paper, a modified segmentation approach based on the active contour method is proposed to extract parts of bones from MRI data sets. The efficiency of the method is verified on real MRI slices. Good results are shown in comparison with existing approaches of segmentation of medical data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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