Multi classification of brain tumor MRI images using Deep learning technique
Author(s):
NANDHINIDEVI S, HARISH S, NARRESH M, YOKESHWARAN D
Keywords:
Abstract
Brain tumor is one of the most dangerous cancers in the world. Adults and children are affected by this cancer. The identification of the correct type at early stage gives a life to the patient by giving precise treatment. The misclassification of the tumor brain leads to dreadful consequences. By investigating the magnetic resonance imaging (MRI) images of the patient’s brain , physician distinguish the type of brain tumors. The manual examination sometimes leads to misclassification due to various type of tumor and human error. To assist radiologists we proposed a CNN model for multi class classification to identify the type of tumor such as Glioma tumor, Meninglimoa tumor , Pituitary tumor and No tumor. The proposed model achieved 93.72 % testing accuracy and 96.51 validation accuracy.
Article Details
Unique Paper ID: 151640

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 439 - 442
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