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DC Field | Value | Language |
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dc.contributor.author | Divyang, Makwana | - |
dc.date.accessioned | 2023-08-17T10:29:51Z | - |
dc.date.available | 2023-08-17T10:29:51Z | - |
dc.date.issued | 2023-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/11879 | - |
dc.description.abstract | A malignant brain tumor known as a glioblastoma is an extremely life-threatening condition. It has been demonstrated that a favorable risk factor and indication of how well patients respond to chemotherapy is the presence of a specific genetic sequence known as MGMT promoter methylation in tumors. The only way to determine the presence of MGMT promoters so far is through genetic analyses that require an operation. In order to reduce the number of operations, it would be helpful to develop an accurate method for determining the presence of MGMT promoters using only MRI. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 21MCEC15; | - |
dc.subject | Computer 2021 | en_US |
dc.subject | Project Report 2021 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 21MCE | en_US |
dc.subject | 21MCEC | en_US |
dc.subject | 21MCEC15 | en_US |
dc.title | MGMT Classification in MRI Images | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE |
Files in This Item:
File | Description | Size | Format | |
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21MCEC15.pdf | 21MCEC15 | 1.1 MB | Adobe PDF | ![]() View/Open |
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