dc.contributor.author |
Rokonuzzaman, Md. |
|
dc.contributor.author |
Sultana, Mst. Abida |
|
dc.contributor.author |
Akhter, Farjana |
|
dc.date.accessioned |
2020-08-06T09:02:09Z |
|
dc.date.available |
2020-08-06T09:02:09Z |
|
dc.date.issued |
2019-12-05 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4095 |
|
dc.description.abstract |
Nowadays Machine Learning (ML) become most hot topic in the technology world. Newly
invented machine with Artificial Intelligence (AI) taking every place of our life.
Neural Network may be a modern machine learning field that picked up a parcel of
intrigued over the past few a long time. That’s why people are trying to invent new
technology for better lifestyle. In this paper we propose 13 layer Convolutional Neural
Network (CNN) model that are detecting brain tumor from mri image. The model is
combined with the automatic feature extractor, standard Multi-Layer Perceptron(MLP) and
activation function. Our proposed model has accomplished decently high accuracy with
low cross-entropy rate. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.relation.ispartofseries |
;P15433 |
|
dc.subject |
Neural networks |
en_US |
dc.subject |
Supratentorial brain tumors |
en_US |
dc.subject |
Machine learning |
en_US |
dc.title |
Detecting Brain Tumor Using A Convolutional Neural Network |
en_US |
dc.type |
Thesis |
en_US |