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- W2960219151 abstract "Ultrasound Computed Tomography (USCT) can be used to cortical bone imaging but is limited by the strong variations in acoustic impedance between the medium and its environment. The aim of this work is to test an automatic image processing recognition to enhance the detection of the boundaries. Image processing algorithms are used for automatic detection of edges and defects. In first step, the application of pre-processing algorithm is done. In second step, we have applied k-Means and Ostu algorithm. As a result, we improve the edge detection to bring up the calculation bones structures length. Hence, osteopathologies detection was achieved and results outperform related works by Signal-to-Noise Ratio improvement and saving time execution." @default.
- W2960219151 created "2019-07-23" @default.
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- W2960219151 date "2019-07-11" @default.
- W2960219151 modified "2023-09-27" @default.
- W2960219151 title "Automatic USCT Image Processing Segmentation for Osteoporosis Detection" @default.
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- W2960219151 doi "https://doi.org/10.1007/978-3-030-21005-2_36" @default.
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