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• W2595236210 abstract "This paper describes a region growing segmentation algorithm for medical ultrasound images. The algorithmstarts with anisotropic diffusion filtering to reduce speckle noise without blurring the edges. Then, region growingis performed starting from a seed point, using a merging criterion that compares intensity gradients to the noiselevel inside the region. Finally, the boundaries are smoothed using morphological closing. The algorithm wasevaluated with two simulated images and eleven phantom images and converged in 10 of them with accurateregion delimitation. Preliminary results show that the proposed method can be used for ultrasound imagesegmentation and does not require previous knowledge of the anatomy of the structures." @default.
• W2595236210 created "2017-03-23" @default.
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• W2595236210 date "2017-03-13" @default.
• W2595236210 modified "2023-09-23" @default.
• W2595236210 title "Region growing segmentation of ultrasound images using gradients and local statistics" @default.
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• W2595236210 doi "https://doi.org/10.1117/12.2254518" @default.
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