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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Acknowledgment
We’d like to thank Marc Lobbes for the provision of the DCE-MRI database. This work is supported by Marie Sklodowska-Curie actions (MSCA-IF-GF-656886).
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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: de Cos Juez, F., et al. Hybrid Artificial Intelligent Systems. HAIS 2018. Lecture Notes in Computer Science(), vol 10870. Springer, Cham. https://doi.org/10.1007/978-3-319-92639-1_37
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DOI: https://doi.org/10.1007/978-3-319-92639-1_37
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