Region-Oriented Segmentation of Vascular Structures from DSA Images Using Mathematical Morphology and Binary Region Growing-Reference-Cited by-同舟云学术

Region-Oriented Segmentation of Vascular Structures from DSA Images Using Mathematical Morphology and Binary Region Growing

Published:1998 Issue: Volume: Page:303-307
ISSN:1431-472X
Container-title:Bildverarbeitung für die Medizin 1998
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Author:

Donizelli Marco

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-58775-7_59.pdf

Reference7 articles.

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2. Kottke D. P., Sun Y.: Segmentation of coronary arteriograms by iterative ternary classification. IEEE Transactions on Biomedical Engineering, 37(8):778–785, 1990.

3. Kottke D. P., Sun Y.: Region splitting of medical images based upon bimodality analysis. IEEE Engineering Conference In Medicine and Biology, 12(1):154–155, 1990.

4. Thackray B. D., Nelson A. C: Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding. IEEE Transactions on Medical Imaging, 12(3):385–392, 1993.

5. Smeets C., Verbeeck G., Suetens P., Oosterlinck A.: A knowledge-based expert system for the delineation of blood vessels on subtraction angiograms. Pattern Recognition Letters, 8(2):113–121, 1988.

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