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DC Field | Value | Language |
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dc.contributor.author | Nag, Prince | - |
dc.contributor.author | Kumar, Yugal [Guided by] | - |
dc.date.accessioned | 2023-10-07T09:53:06Z | - |
dc.date.available | 2023-10-07T09:53:06Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10228 | - |
dc.description | Enrollment No. 191257 | en_US |
dc.description.abstract | The quality of life and life expectancy of patients can be significantly impacted by brain tumours, which are a serious health concern. According to the World Health Organisation, cancer is the second most common cause of death in the world, accounting for 22% of all chronic illnesses and causing an estimated 9 million deaths annually. Different types of brain cells can give rise to brain tumours, and the location, size, and grade of the tumour can affect the symptoms. The diagnosis of brain tumours can be difficult, and the available treatments may vary depending on the patient's age, general health, and the grade and location of the tumour. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Brain Tumor | en_US |
dc.subject | Artificial Neurons | en_US |
dc.title | Use of Deep Learning, ML Algorithms for the Classification of Brain Tumor | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Use of Deep Learning, ML Algorithms for the Classification of Brain Tumor.pdf | 1.97 MB | Adobe PDF | View/Open |
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