Brain Tumor Detection and Classification Using Convolutional Neural Network

dc.contributor.author	Shaharia, Md. Shafin
dc.contributor.author	Meem, Mimusa Rahman
dc.date.accessioned	2022-10-06T06:02:36Z
dc.date.available	2022-10-06T06:02:36Z
dc.date.issued	2022-05-30
dc.identifier.uri	http://dspace.ewubd.edu:8080/handle/123456789/3747
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh	en_US
dc.description.abstract	MRI images are commonly utilized in medical science to detect brain tumors. Some types of brain tumors are fatal. As a result, it's critical to figure out which one is lethal so that treatment may begin as soon as possible. MRI images are frequently used to detect brain tumors, which are manually detected by the radiologist and doctor. It might be a lengthy procedure at times. If there is a big amount of data on this, we can use it in Machine Learning and create a model that will identify it automatically by training and testing itself with that data using Convolutional Neural Networks. That will be a huge aid in the field of medicine.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;ECE00249
dc.subject	Brain Tumor Detection, Convolutional Neural Network, MRI	en_US
dc.title	Brain Tumor Detection and Classification Using Convolutional Neural Network	en_US
dc.type	Thesis	en_US