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- W2386579770 abstract "Objective To compare two methods (region growth and fuzzy C-means cluster) for segmentation of brain parenchyma and cerebrospinal fluid based on brain CT images. Methods Two methods were analyzed and applied to the segmentation of 49 series of CT brain images. Results Region growth algorithm gave the better results with a good labeling of brain parenchyma and cerebrospinal fluid. The algorithm of fuzzy C-means cluster resulted in imperfect attraction of brain parenchyma. Conclusions The experiment results shows that based on CT images, region growth algorithm works better in the segmentation of brain parenchyma and cerebrospinal fluid as far as the segmentation quality is concerned. However, there are limitations in the running time and automation that can be improved." @default.
- W2386579770 created "2016-06-24" @default.
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- W2386579770 date "2013-01-01" @default.
- W2386579770 modified "2023-09-23" @default.
- W2386579770 title "Study of Methods for Segmentation of Brain CT Images" @default.
- W2386579770 hasPublicationYear "2013" @default.
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