Boundary identification in medical images plays a crucial role in helping physicians in patient diagnosis. Manual identification of object boundaries is a time-consuming task and is subject to operator variability. Fully automatic procedures are still far from satisfactory in most real situations. In this paper, we propose a boundary identification method based on multiscale technique. Experimental results have shown that the proposed method provides superior performance in medical image segmentation. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Wang, Z. Y., Mandai, M., & Koles, Z. (2007). Multiscale boundary identification for medical images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4815 LNCS, pp. 177–185). Springer Verlag. https://doi.org/10.1007/978-3-540-77046-6_22
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