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- W1497502964 abstract "Breast cancer is the most common cause of death among women and the most effective method for its diagnosis is mammography. However, this kind of analysis is very difficult to interpret and for this reason radiologists miss 20-30% of tumors. We propose a module for the segmentation of masses that can be implemented in a complete CADx (Computer Aided Diagnosis) system. In particular, we implement a new version of the region growing algorithm specific for this kind of images and for the constraints on computation time of this application." @default.
- W1497502964 created "2016-06-24" @default.
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- W1497502964 date "2008-01-01" @default.
- W1497502964 modified "2023-10-18" @default.
- W1497502964 title "Breast Mass Segmentation in Mammographic Images by an Effective Region Growing Algorithm" @default.
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- W1497502964 doi "https://doi.org/10.1007/978-3-540-88458-3_86" @default.
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