Multi classification of brain tumor  MRI images using Deep learning technique

NANDHINIDEVI S; HARISH S; NARRESH M; YOKESHWARAN D

Multi classification of brain tumor MRI images using Deep learning technique

Authors: NANDHINIDEVI S, HARISH S, NARRESH M, YOKESHWARAN D

Unique Paper ID: 151640
Volume: 8
Issue: 1
PageNo: 439-442

Keywords: No Keywords Found

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 patientâ€™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.

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ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 439-442

Multi classification of brain tumor MRI images using Deep learning technique

Available:https://ijirt.org/Article?manuscript=151640

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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