dc.contributor.author |
Chandarana, Dimpee |
|
dc.contributor.author |
Kothari, Ashish |
|
dc.date.accessioned |
2023-05-16T06:18:12Z |
|
dc.date.available |
2023-05-16T06:18:12Z |
|
dc.date.issued |
2015 |
|
dc.identifier.citation |
Chandarana, D. , Kothari, A.(2015).Brain Tumor Segmentation Methods: A Review. International Journal of Advance Engineering and Research Development (IJAERD), e-ISSN: 2348 - 4470 , print-ISSN:2348-6406,Impact Factor:3.134 |
en_US |
dc.identifier.issn |
2348-4470 |
|
dc.identifier.uri |
http://10.9.150.37:8080/dspace//handle/atmiyauni/969 |
|
dc.description.abstract |
Brain tumor is an abnormal growth of the cells
inside the brain. Detecting Brain tumor takes special skills and
techniques because they are difficult to detect – especially in
early stages. The boundary of the tumor (i.e. the abnormality in
brain) in an MRI or different medical image can be traced using
image processing techniques. Segmentation is often essential as a
preliminary step for medical image analysis for diagnosis and
study of abnormality. The input image to the system is taken
either from the available data base or the real time image, So
that the presence of tumor in input image can be detected and
the area of the tumor can also be analyzed. The paper is based
on the survey of different brain tumor detection techniques. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
International Journal of Advance Engineering and Research Development (IJAERD) |
en_US |
dc.subject |
Brain tumor |
en_US |
dc.subject |
enhancement |
en_US |
dc.subject |
MRI |
en_US |
dc.subject |
Edge based & Pixel based segmentation |
en_US |
dc.subject |
Histogram Thresholding |
en_US |
dc.title |
Brain Tumor Segmentation Methods: A Review |
en_US |
dc.type |
Article |
en_US |