Detecting Brain Tumor Using A Convolutional Neural Network

dc.contributor.authorRokonuzzaman, Md.
dc.contributor.authorSultana, Mst. Abida
dc.contributor.authorAkhter, Farjana
dc.date.accessioned2020-08-06T09:02:09Z
dc.date.available2020-08-06T09:02:09Z
dc.date.issued2019-12-05
dc.description.abstractNowadays 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4095
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4095
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectNeural networks
dc.subjectSupratentorial brain tumors
dc.subjectMachine learning
dc.titleDetecting Brain Tumor Using A Convolutional Neural Network
dc.typeThesis

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