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Brain Tumor Analysis Using Deep Neural Network

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dc.contributor.author Khan, Iftekhar
dc.contributor.author Ahsan, Kuheli
dc.date.accessioned 2022-02-13T03:49:36Z
dc.date.available 2022-02-13T03:49:36Z
dc.date.issued 2021-05
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7072
dc.description.abstract The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys the normal body cells and keeps increasing. In human body, brain tumor is measured as the most common tumor which affects the nervous system, memory functional cells, glands, and membranes that surround the brain and can conduct to a high mortality rate if the affected one is unsuccessful to reach proper medical treatment. For effective treatment, precise and early recognition of the tumors is critical work and also a vital step in diagnosis and treatment preparation for affected one which not only benefits to arise with improved medications but also saves the affected life in due time. In this work, we use Magnetic Resonance Imaging (MRI) which is a prominent imaging procedure in terms of brain tumor recognitions. For features extraction, segmentation and classification, we proposed a work that contains the deep neural network integrated method Convolutional Neural Network (CNN) to classify the MRI images and we achieved an accuracy of 97.92%. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Brain tumor analysis en_US
dc.subject Neural networks en_US
dc.subject Deep learning en_US
dc.title Brain Tumor Analysis Using Deep Neural Network en_US
dc.type Article en_US

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