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- W2308844023 abstract "The bone age of a human can be identified using carpal and epiphysis bones ossification, which is limited to teenage. The accurate age estimation depends on best separation of bone pixels and soft tissue pixels in the ROI image.The traditional approaches like canny, sobel, clustering, region growing and watershed can be applied, but thesemethods requires proper pre-processing and accurate initial seed point estimation to provide accurate results.Therefore this paper proposes new approach to segment the bone from soft tissue and background pixels. First pixelsare enhanced using BPE and the edges are identified by HIPI. Later a K-Means clustering is applied forsegmentation. The performance of the proposed approach has been evaluated and compared with the existingmethods." @default.
- W2308844023 created "2016-06-24" @default.
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- W2308844023 date "2016-03-25" @default.
- W2308844023 modified "2023-09-23" @default.
- W2308844023 title "Segmentation of bone pixels from EROI Image using clustering method for bone age assessment" @default.
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- W2308844023 doi "https://doi.org/10.1117/12.2225146" @default.
- W2308844023 hasPublicationYear "2016" @default.
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