Abstract
Ultrasound images are characterized by high level of speckle noise causing undefined contours and difficulties during the segmentation process. This paper presents a novel method to detect heart cavities in ultrasound images. The method is based on a Self Organizing Map and the use of the variance of images. Successful application of our approach to detect heart cavities on real images is presented.
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Jarur, M.C., Mora, M. (2006). Heart Cavity Detection in Ultrasound Images with SOM. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_116
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DOI: https://doi.org/10.1007/11925231_116
Publisher Name: Springer, Berlin, Heidelberg
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