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Multilevel learning-based segmentation of ill-defined and spiculated masses in mammograms

Purpose: A learning-based approach integrating the use of pixel-level statistical modeling and spiculation detection is presented for the segmentation of mammographic masses with ill-defined margins and spiculations. Methods: The algorithm involves a multiphase pixel-level classification, using a co...

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書誌詳細
主要な著者: Tao, Yimo, Lo, Shih-Chung B., Freedman, Matthew T., Makariou, Erini, Xuan, Jianhua
フォーマット: Artigo
言語:Inglês
出版事項: American Association of Physicists in Medicine 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2988833/
https://ncbi.nlm.nih.gov/pubmed/21158311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3490477
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