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- W2510002640 abstract "White matter (WM) lesions are a phenomena perceived in magnetic resonance imaging (MRI) which is prevalent in many different brain pathologies, hence the general interest in automated methods for lesion segmentation (LS). We provide a short review of some commonly used state-of-the-art approaches. The article is focused on the machine learning techniques which researches use to construct semi- and fully-automated tools for LS. In addition, we mention the preprocessing steps, features extraction, LS databases and validation techniques." @default.
- W2510002640 created "2016-09-16" @default.
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- W2510002640 date "2016-01-01" @default.
- W2510002640 modified "2023-09-26" @default.
- W2510002640 title "Review of Automatic Segmentation Methods of White Matter Lesions on MRI Data" @default.
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- W2510002640 doi "https://doi.org/10.1007/978-3-319-39687-3_29" @default.
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