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- W2188517079 abstract "Manual brain tumor segmentation of brain tumors from MRI is a challenging and time consuming task. Brain tumors are very difficult to segment because they have a wide range of appearance and effect on surrounding structures. Brain tumors generallyvary in size, position and image intensities (such T1 intensity, T2 intensity etc.) as seen in MRI. MRI images have overlapping intensities with normal tissuesand may be accompanied by surrounding edema(Swelling). Due to that an automated system has been developed for brain tumor segmentation. There are various techniques are available for brain tumor segmentation such as Threshold based segmentation, Texture based segmentation,Fusion based segmentation etc.," @default.
- W2188517079 created "2016-06-24" @default.
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- W2188517079 date "2014-01-01" @default.
- W2188517079 modified "2023-09-26" @default.
- W2188517079 title "A Survey on MRI based automated Brain Tumor Segmentation Techniques" @default.
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- W2188517079 hasPublicationYear "2014" @default.
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