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A deep convolutional neural networks for brain tumor classification based on MRI images

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dc.contributor.author Al Mamun, Shamim
dc.date.accessioned 2024-08-19T06:09:55Z
dc.date.available 2024-08-19T06:09:55Z
dc.date.issued 2024-01-26
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13122
dc.description.abstract The tenth most common cause of death for both men and women is cancer of thebrain and associated nervous system tumors. According to estimates, primarymalignant brain and central nervous system tumors will be the cause of 18,980fatalities in the United States in 2023 (11,020 males and 7,970 women). Primarymalignant brain and central nervous system tumors are expected to have killed251,329 persons globally in 2020. So the classification of brain tumor is reallyimportant because identification of disease is the first step to prevent that. For that I are used to classify brain tumor using deep learning.For classification of brain tumor I applied three deep learning model one ml framework and two ml domain. Like Vgg16, ResNet50, Xception ,PyTorch , transfer learning and fine-tuning. After applyingon4278 MRI images I got loIst accuracy is 83.85% and highest accuracy is 98.01%inPyTorch fine-tuning. en_US
dc.publisher Daffodil International University en_US
dc.subject Deep Learning en_US
dc.subject Brain Tumor Diagnosis en_US
dc.subject Convolutional Neural Networks (CNN) en_US
dc.subject Medical Imaging en_US
dc.subject MRI Images en_US
dc.title A deep convolutional neural networks for brain tumor classification based on MRI images en_US
dc.type Other en_US


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