| Diagnosing and Classification Tumors and MS Simultaneous of Magnetic Resonance Images Using Convolution Neural Network |
| کد مقاله : 1172-CFIS (R1) |
| نویسندگان |
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حلیمه سیر1، محمد تشنه لب *2 1گروه مهندسی کامپیوتر، دانشگاه علوم تحقیقات تهران 2دانشگاه خواجه نصیرالدین طوسی |
| چکیده مقاله |
| Brain diseases such as brain tumors and MS diseases that are the most important means of detecting them using MRI imaging. Brain tumor disease occurs when abnormal cells develop in the brain. MS is a deep-seated disease that damages the nervous system of the brain. Imaging MRI is the most effective method for diagnosing MS and tumor. Because of the similarities between the two tumor and MS, medical errors in the diagnosis may result in injury to the patient or even the death of the patient. In this paper, we use the convolution neural network to simultaneously diagnose brain tumor and MS. In this paper we were able to accurately detect the network for simultaneous diagnosis of tumor and MS with a accuracy of 96%. |
| کلیدواژه ها |
| Brain tumors; Multiple sclerosis (MS), Magnetic resonance imaging (MRI), Feature extraction, Convolutional neural network(CNN). |
| وضعیت: پذیرفته شده برای ارائه شفاهی |