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Detecting Brain Tumor Using A Convolutional Neural Network

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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


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