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- W2543334757 abstract "The segmentation of structures of interest in medical images can result in segmentation boundaries demonstrating two types of concavities: natural and incorrect. This study introduces a generalized method for identification and repair of incorrect concavities. Previous methods are framed in terms of the generalized method and new techniques for concavity identification, α -hull, and repair, active contours, are applied. The application of α -hulls also creates a natural hierarchy on concavities that leads to more efficient computations for both the characterization and repair of concavities. The generalized method is evaluated on a database of juxtapleural nodules and compared against two other methods: convex hull and morphological closing operator. The generalized method demonstrates the best overall tradeoff between juxtapleural nodule inclusion and incorrect inclusion of non-nodule tissue from surrounding structures." @default.
- W2543334757 created "2016-11-04" @default.
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- W2543334757 date "2008-10-01" @default.
- W2543334757 modified "2023-09-29" @default.
- W2543334757 title "A general method for the identification and repair of concavities in segmented medical images" @default.
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- W2543334757 doi "https://doi.org/10.1109/nssmic.2008.4774434" @default.
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