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- W2613544642 abstract "Precise segmentation of three-dimensional (3D) magnetic resonance imaging (MRI) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. Accurate automatic extraction a 3D component from images obtained by magnetic resonance imaging (MRI) is a challenging segmentation problem due to the small size objects of interest (e.g., blood vessels, bones) in each 2D MRA slice and complex surrounding anatomical structures. Our objective is to develop a specific segmentation scheme for accurately extracting parts of bones from MRI images. In this paper, we use a segmentation algorithm to extract the parts of bones from Magnetic Resonance Imaging (MRI) data sets based on modified active contour method. As a result, the proposed method demonstrates good accuracy in a comparison between the existing segmentation approaches on real MRI data." @default.
- W2613544642 created "2017-05-19" @default.
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- W2613544642 date "2017-05-10" @default.
- W2613544642 modified "2023-09-27" @default.
- W2613544642 title "Medical image segmentation using 3D MRI data" @default.
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- W2613544642 doi "https://doi.org/10.1117/12.2262857" @default.
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