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• W2088862016 abstract "Computational medicine aims at employing personalised computational models in diagnosis and treatment planning. The use of such models to help physicians in finding the best treatment for low back pain (LBP) is becoming popular. One of the challenges of creating such models is to derive patient-specific anatomical and tissue models of the lumbar intervertebral discs (IVDs), as a prior step. This article presents a segmentation scheme that obtains accurate results irrespective of the degree of IVD degeneration, including pathological discs with protrusion or herniation. The segmentation algorithm, employing a novel feature selector, iteratively deforms an initial shape, which is projected into a statistical shape model space at first and then, into a B-Spline space to improve accuracy." @default.
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• W2088862016 date "2014-11-24" @default.
• W2088862016 modified "2023-10-17" @default.
• W2088862016 title "3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images" @default.
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• W2088862016 doi "https://doi.org/10.1088/0031-9155/59/24/7847" @default.
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