Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4083
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dc.contributor.authorSuthakar, S.
dc.date.accessioned2021-11-01T06:58:43Z
dc.date.accessioned2022-06-28T03:15:15Z-
dc.date.available2021-11-01T06:58:43Z
dc.date.available2022-06-28T03:15:15Z-
dc.date.issued2012
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4083-
dc.description.abstractMoreover, 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.isoenen_US
dc.publisherFaculty of Graduate studiesen_US
dc.titleA Model for Semi- automatic Image Segmentation of Brain Tumoursen_US
dc.typeArticleen_US
Appears in Collections:Research Publication- FGS

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