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A Model for Semi- automatic Image Segmentation of Brain Tumours

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dc.contributor.author Suthakar, S.
dc.date.accessioned 2021-11-01T06:58:43Z
dc.date.accessioned 2022-06-28T03:15:15Z
dc.date.available 2021-11-01T06:58:43Z
dc.date.available 2022-06-28T03:15:15Z
dc.date.issued 2012
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4083
dc.description.abstract Moreover, the deforming contours expand or shrink as necessary so as not to pass the weak edges. Our method has a number of distinguishing characteristics than the methods reported have. Our method uses the information gathered from the currently identified tumour area as well as from the healthy area to determine the velocity forces. This will be performed repeatedly until the contour optimally covers the tumour area. Experiments are carried out on real datasets from various brain tumours images. The results are promising as confirmed by the specialists in the field of cancer treatment. en_US
dc.language.iso en en_US
dc.publisher Faculty of Graduate studies en_US
dc.title A Model for Semi- automatic Image Segmentation of Brain Tumours en_US
dc.type Article en_US


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