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- W2352053300 abstract "Objective:To study the effects of fuzzy C-means(FCM) algorithm for image processing prepared by authors in the segmentation of cerebral neoplasms MR images.Methods:FCM was performed in 50 cases with different cerebral neoplasms MR images and compared to the hand-drawn images lesion areas by experts.The following indicators were extracted:coincidence rate,segmentation error rate,and analysed data.Results:The coincidence rate is 91.178% and the segmentation error rate is 10.8% by using FCM process.And no significant statistic differences(P0.05) were shown between two areas.Conclusion:FCM procedure can be used as automatic and non-supervisory method in segmentation of cerebral neoplasms MR images and it have a strong clinical value." @default.
- W2352053300 created "2016-06-24" @default.
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- W2352053300 date "2009-01-01" @default.
- W2352053300 modified "2023-09-23" @default.
- W2352053300 title "Application study of cerebral neoplasms MR images segmentation using fuzzy clustering technology" @default.
- W2352053300 hasPublicationYear "2009" @default.
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