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- W3149366815 abstract "An automatic anatomy segmentation method is proposed which effectively combines the Active Appearance Model, Live Wire and Graph Cut (ALG) ideas to exploit their complementary strengths. It consists of three main parts: model building, initialization, and delineation. For the initialization (recognition) part, a pseudo strategy is employed and the organs are segmented slice by slice via the OAAM (Oriented Active Appearance method). The purpose of initialization is to provide rough object localization and shape constraints for a latter GC method, which will produce refined delineation. It is better to have a fast and robust method than a slow and more accurate technique for initialization. One of the strengths of the proposed method is to segment the organ during the process of manually delineating the boundaries. For single-object segmentation, global optimality is guaranteed." @default.
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- W3149366815 date "2014-01-01" @default.
- W3149366815 modified "2023-09-26" @default.
- W3149366815 title "Automatic Image Segmentation Method Based On Alg" @default.
- W3149366815 doi "https://doi.org/10.2139/ssrn.3018999" @default.
- W3149366815 hasPublicationYear "2014" @default.
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