Abstract
Computer aided applications in Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) are increasingly gaining attention as important tools to asses the risk of breast cancer. Chest wall detection and whole breast segmentation require effective solutions to increase the potential benefits of computer aided tools for tumor detection. Here we propose a 3D extension of Gabor filtering for detection of wall-like regions in medical imaging, and prove its effectiveness in chest-wall detection.
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CITATION STYLE
Illan, I. A., Matos, J. P., Ramirez, J., Gorriz, J. M., Foo, S., & Meyer-Baese, A. (2018). 3D gabor filters for chest segmentation in DCE-MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10870 LNAI, pp. 446–454). Springer Verlag. https://doi.org/10.1007/978-3-319-92639-1_37
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