Please use this identifier to cite or link to this item:
http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4083
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Research Publication- FGS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A Model for Semi- automatic Image Segmentation of Brain Tumours.pdf | 646.45 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.