Use of Deep Learning, ML Algorithms for the Classification of Brain Tumor

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10228

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DC Field	Value	Language
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

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