Skip to main content
Conference Proceedings

Fuzzy approach in ultrasound image segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2001) 2206 LNCS 924-929
DOI: 10.1007/3-540-45493-4_92
3Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This contribution present a new approach for ultrasound image segmentation, based on the fuzzy theory. The segmentation is performed on the 2D envelope of radiofrequency (RF) signals instead of the B-mode image. The segmented image is then used to create the sector image. © Springer-Verlag 2001.

Cite

CITATION STYLE

APA

Kolář, R., & Kozumplik, J. (2001). Fuzzy approach in ultrasound image segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2206 LNCS, pp. 924–929). Springer Verlag. https://doi.org/10.1007/3-540-45493-4_92

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free