- Tytuł:
- Application of region growing method to brain tumor segmentation - preliminary results
- Autorzy:
-
Piekar, E.
Szwarc, P.
Sobotnicki, A.
Momot, M. - Powiązania:
- https://bibliotekanauki.pl/articles/333522.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
segmentation
region growing
T1 images
brain tumor
segmentacja
obrazy T1
guz mózgu - Opis:
- In this article image have been subject to segmentation using Matlab software, i.e. T1 in normal conditions, perfusion images and images after administering a contrast agent. The tumor in images made in normal conditions was difficult to identify. The images obtained after administering the contrast agent confirmed that the homogeneity criterion has been appropriately selected. In perfusion images the pixels of the background were added to the tumor. When the parameters were changed i.e. pixel counter or neighborhood type the method became more efficient; the tumor boundaries were outlined more precisely. The region growing method enables precise tumor detection; however, the selection of an appropriate homogeneity criterion is a prerequisite for correct segmentation.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2013, 22; 153-160
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł