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A Clifford analytic signal-based breast lesion segmentation method for 4D spatial-temporal DCE-MRI sequences
2019
IEEE Access
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) has been increasingly used for lesion detection in breast cancer diagnosis for its capability to provide spatial-temporal information. However, the massive and complex 4D spatial-temporal DCE-MRI data make the diagnosis process lengthy and error-prone. Moreover, normal fibroglandular tissue is occasionally enhanced through background parenchymal enhancement (BPE), which can degrade the performance of current algorithms. We propose a
doi:10.1109/access.2019.2962750
fatcat:oy3ronqwdzca3ec5vlzq647faq